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MANTECH seeks a motivated, career and customer-oriented Senior Computer Vision Engineer to join our AI innovation team in Ashburn, VA. This is currently a hybrid position with two days onsite and three days remote. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel. Responsibilities include but are not limited to: + Design, develop, and implement highly efficient computer vision algorithms and software primarily using Python and relevant libraries (e.g., OpenCV, NumPy, scikit-image). + Apply deep learning techniques (e.g., CNNs, RNNs, Transformers) for object detection, segmentation, tracking, and recognition using frameworks like TensorFlow or PyTorch. + Perform comprehensive image preprocessing and augmentation on large datasets of both 2D (standard images/video/X-rays) and 3D (e.g., volumetric data) data. + Develop and optimize biometric recognition systems (face, iris, fingerprint) and integrate with predictive modeling pipelines for risk scoring and anomaly detection. + Lead the integration and successful deployment of trained models into production environments (e.g., cloud, edge devices). Develop and optimize models for real-time inference and efficiently handle large-scale data processing pipelines. + Research, evaluate, and benchmark new computer vision technologies and academic advancements to maintain a competitive edge. + Collaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate vision systems into final products. Minimum Qualifications: + HS Diploma/GED and 15-20 years, AS/AA and 13-18 years, BS/BA and 7+ years or MS/MA/MBA and 5+ years or PhD/Doctorate and 3+ years. + Expertise with deep learning frameworks (PyTorch, TensorFlow, Keras) and computer vision libraries (OpenCV, SimpleITK, ITKm VTK). + Demonstrated ability in image preprocessing techniques, including filtering, noise reduction, feature extraction, and handling various image formats. + Hands-on experience with productionizing models, including optimizing for inference speed, containerization (e.g., Docker), and cloud deployment platforms (e.g., AWS, Azure, GCP). + Proven track record with 2D/3D imaging analysis: reconstruction segmentation, detection, and volumetric modeling. + Proficiency in Python and C++, with strong understanding of high-performance computing and GPU acceleration. + Experience with biometric recognition algorithms and predictive analytics pipelines. Preferred Qualifications: + Experience with X-ray CT reconstruction algorithms, 3D-point cloud analysis and multimodal data fusion. + Experience with GPU-based infrastructure and performance optimization + Experience with MLOps principles and tools for automated model training, testing, and deployment. + Knowledge of specific computer vision application areas such as robotics, augmented reality (AR), or industrial inspection. + Familiarity with various camera technologies and sensor data acquisition. Clearance Requirements: + Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability. Physical Requirements: + The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information. Skills: 3D Modeling, Accounts Receivable, Algorithms, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Benchmarking, Business Administration, C++ Programming Language, Cloud Computing, Computer Vision, Cross-Functional, Customer Relations, Cyberspace, Data Fusion, Data Management, Data Processing, Data Science, Data Sets, Deep Learning, Docker, Face Recognition, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Microsoft Windows Azure, Noise Reduction, Office Equipment, People Management, Performance Tuning/Optimization, Physical Demands, Predictive Modeling, Presentation/Verbal Skills, Production Systems, Python Programming/Scripting Language, Radiography, Risk Modeling, Robotics, Software Engineering, System Integration (SI), Training Tools, United States Citizen, United States Customs About the Company: ManTech

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: • Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. • Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. • Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. • Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. • Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. • Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: • Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. • Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. • Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. • Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. • Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. • Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. • Ability to travel as required. • Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards packag

About the position Medisolv partners with hospitals, health systems, ACOs, and payers to bring clarity to quality data, connecting clinical and claims information into a single, reliable view. Over 1,800 organizations and 130M+ patient records rely on Medisolv to measure, report, and improve performance across 500+ measures tied to CMS, The Joint Commission, and other programs. With support from Bessemer Venture Partners Forge, Medisolv is continuing to grow its platform and expand its impact by investing in advanced analytics, AI, and new capabilities that help healthcare organizations stay ahead of change and improve outcomes with confidence. This role is for someone who knows the health insurance and VBC worlds inside out, understands the math behind CMS quality calculations, and is excited about putting autonomous AI agents to work on healthcare data. Responsibilities • Build a deep understanding of Medisolv’s data ecosystem and CMS measure logic (HEDIS, Pharmacy, CAHPS/HOS). • Align with engineering, AI, and clinical stakeholders on priorities and high-impact use cases. • Define initial AI agent architecture and guiding principles for HITL safety and compliance. • Design and prototype AI agents to identify care gaps and predict Star Rating risks. • Stand up the foundation of the payer data core from fragmented datasets. • Develop initial CMS measure calculation engines and pilot action-oriented workflows. • Deploy production-ready AI agents that connect insights directly to gap-closing actions. • Expand and stabilize the payer data core and measurement automation. • Implement orchestrated workflows and mature HITL guardrails. • Optimize AI performance with feedback loops and expand to more advanced use cases. • Mature the data platform into a scalable, real-time decisioning engine. • Drive measurable improvements in Star Ratings and value-based care outcomes. Requirements • 5+ years of product management experience handling health plan data and VBC provider quality metrics. • Deep understanding of risk adjustment, utilization management, and how risk-bearing entities operate. • Expertise in how CMS calculates MA Star Ratings, including the math behind cut points and the impact of triple-weighted measures. • Ability to build data products that move the needle across various CMS measure domains. • Hands-on experience working with claims, eligibility, and enrollment datasets, and mapping them back to quality performance. • Experience building proactive software that thinks, adapts, and automates workflows, rather than just reporting on them. • Understanding of GenAI architectures, RAG, and agentic frameworks (like LangChain, AutoGen, or similar orchestration toolsets). • Comfortable talking to engineers about vector databases, APIs, and semantic data layers. • Understanding of HIPAA/HITRUST guidelines and how to build AI outputs that are accurate, unbiased, and explainable. • Takes initiative and enjoys driving tasks from inception to completion. • Demonstrates and influences cross-functional collaboration within the company. • Seeks out opportunities to build relationships with others even when difficult personalities or politics stood in the way. • Flexibility and adaptability to changing environments as a company grows and scales. • Intellectual curiosity and a love for figuring out how things work. • Resilience and optimism; embraces change. Nice-to-haves • Experience with Bessemer Venture Partners Forge. • Experience with autonomous AI agents. Benefits • Support from Bessemer Venture Partners Forge

About ARSIEM Corporation At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. ARSIEM is looking for an amazingly talented AI Product Manager to join our team! In this role you will get to provide strategic and operational guidance to teams developing AI-enabled solutions. This role is suited for an experienced product-oriented professional who can help shape priorities, align stakeholders, drive disciplined execution, and keep technical efforts focused on mission value. This individual does not need to be a software engineer but should possess strong technical fluency and enough AI literacy to engage credibly with engineers, data scientists, platform teams, and government leadership. The ideal candidate understands how to translate mission needs into executable plans, keep complex efforts on track, and identify when programs are drifting from useful outcomes. Above all, we want someone with authentic curiosity and passion—someone who actively studies the AI landscape, learns continuously, and brings informed perspective to a fast-changing field. This position will support one of our Government clients in Columbia, Maryland. Responsibilities • Provide SETA advisory support to government leadership and technical teams on AI product strategy, planning, and execution. • Help define and refine AI use cases, product goals, success criteria, priorities, and delivery roadmaps. • Guide teams in aligning AI solution development with mission outcomes, user needs, operational constraints, and program objectives. • Monitor effort execution and help keep teams on track with milestones, dependencies, risks, and decision points. • Support requirements development, backlog shaping, capability prioritization, and stakeholder coordination. • Translate between technical teams and non-technical leadership, ensuring shared understanding of what is being built, why it matters, and what risks exist. • Advise on AI adoption challenges, including scope control, change • management, user trust, operational fit, and realistic implementation sequencing. • Review proposed AI solutions for feasibility, mission relevance, and alignment with available resources and timelines. • Support briefings, planning artifacts, concept papers, product documentation, and executive communications. • Help identify when teams need course correction, sharper problem framing, better metrics, or more disciplined execution. Minimum Qualifications • Min 18 years with Bachelors, 15 years with Master's degree in a relevant field such as Business, Engineering, Computer Science, Information Systems, Operations, or related discipline. • Experience in product management, technical program support, capability delivery, or requirements management in a government, defense, or complex enterprise environment. • Demonstrated ability to work with technical teams building software, data, AI, or digital solutions. • Strong understanding of product lifecycle concepts, roadmap planning, prioritization, stakeholder management, and execution tracking. • Familiarity with AI concepts, terminology, current capabilities, and practical implementation challenges. • Ability to advise leadership while also engaging productively with engineers and solution teams. • Excellent written, verbal, and briefing skills. Preferred Qualifications • Experience supporting AI, data, analytics, or software modernization efforts. • Familiarity with Agile, SAFe, DevSecOps, or iterative capability delivery models. • Ability to understand technical topics such as LLMs, AI tools, cloud platforms, agentic workflows, evaluation, and data dependencies without needing to be a hands-on developer. • Experience in defense, cyber, or operational mission environments. • Background in technology strategy, innovation support, requirements development, or portfolio management. Clearance Requirement: This position requires an active TS/SCI with a polygraph. You must be a U.S. citizen for consideration. Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $3,500, and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment. ARSIEM is proud to be an Equal Oppor

Description Are you an early-career researcher hoping to invent the future of artificial intelligence (AI)? Do you have a burning desire for your research to serve a bigger purpose? Are you concerned about pressing challenges facing our nation’s security and prosperity? If these questions describe you, you may be the kind of person the Artificial Intelligence Group at JHU/APL is looking for. We are a team within the Research and Exploratory Development Department (REDD) that strives to close the gap between frontier models and our sponsors’ expectations for an AI-dominated future. Our research programs are targeting foundational advances with cross-mission impact, such as: • Improving alignment of AI agents used in human-machine teaming and wargaming • Training multimodal foundation models on language and sensor data • Intelligent robots that use agentic AI to perform complex tasks in a self-directed way • Assessing, mitigating, and exploiting vulnerabilities of frontier models • Mission-driven test and evaluation (T&E) of novel research We are seeking new PhD graduates that, in the short-term, can make important contributions to our current research, and in the long-term can grow into a thought leadership role for the Laboratory. We have many opportunities for you to propose your own ideas for internal seedling funding, and our Program Managers can help you grow these into externally-funded projects. Along the way, we will encourage and support publication of your work and engagement with the broader research ecosystem. Qualifications You meet our minimum qualifications for the job if you: • Have a PhD or equivalent degree with dissertation work in fundamental AI research. • Have a strong record of peer-reviewed publications in reputable journals and/or conferences. • Are proficient in Python programming with experience using PyTorch and/or Jax, including Hugging Face libraries (transformers, diffusers, datasets, tokenizers, etc.). • Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you have research experience in any of these areas: • Measuring and increasing alignment between humans and AI agents • Novel techniques for training and/or fine-tuning foundation models • Models or agents for robotic control and problem-solving • Adversarial and/or natural robustness of computer vision and autonomy • Neural rendering techniques for 3D scene reconstruction About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL pro

Johns Hopkins Applied Physics Lab is seeking a new PhD graduate with expertise in machine learning to analyze data for defense and national security applications. The role involves supporting multi-disciplinary teams, developing data analysis techniques, and communicating findings to technical staff and management. This offers a competitive salary range of $105,000 to $245,000 annually, along with comprehensive benefits, in Laurel, Maryland.

Transformcap seeks a Staff Machine Learning Research Scientist to drive cutting-edge ML research with a focus on clinical impact. This fully remote role requires expertise in machine learning and deep learning, especially in developing and evaluating models for healthcare applications. Ideal candidates have a robust research background with publications in leading conferences and skills in Python and ML frameworks like PyTorch. You will lead impactful projects, mentor researchers, and collaborate with engineers to shape the future of AI in healthcare.

Job Title: Data Scientist Level 3 Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity CACI is seeking a skilled and experienced Data Scientist (Level 3) to join our dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in data science, advanced machine learning techniques, and a proven track record of developing and implementing innovative data solutions. This role requires leadership skills to mentor junior data scientists and a deep understanding of cloud computing platforms and AI tools. Responsibilities: * Advanced Machine Learning: Apply deep learning and natural language processing (NLP) techniques to develop sophisticated data models and algorithms. * Leadership and Mentorship: Lead and mentor junior data scientists, providing guidance and support to enhance their skills and capabilities. * Cloud Computing: Utilize cloud computing platforms (AWS, Azure) to deploy and manage data science projects. * Innovative Solutions: Develop and implement cutting-edge data solutions that drive business value and improve operational efficiency. * AI Tools and Capabilities: Leverage AI tools and adhere to Responsible AI (RAI) policies to ensure ethical and responsible use of AI technologies. * Metrics and Evaluation: Create metrics, measurements, and evaluation methods for both emerging and existing areas of AI to assess performance and impact. * Collaboration: Work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. Qualifications: * Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. * 5+ years of experience in data science, analysis, and modeling. * Advanced machine learning techniques (deep learning, NLP). * Ability to lead and mentor junior data scientists. * Knowledge of cloud computing platforms (AWS, Azure). * Proven track record of developing and implementing innovative data solutions. * Good knowledge of AI tools and capabilities, Responsible AI (RAI) policies, and development of metrics, measurements, and evaluation methods for emerging and existing areas of AI. * Certifications: * Certified Analytics Professional (CAP) * Advanced certifications in specific machine learning domains (Deep Learning, Natural Language Processing) * AWS Certified Machine Learning * TS/SCI Clearance - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $94,400 - $198,200 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Capgemini Government Solutions seeks a Senior Data Scientist in Washington, DC, to lead innovative AI and machine learning solutions for the U.S. Public Sector. Candidates will collaborate on critical challenges, contributing to data science methodologies and product ecosystems. We offer a supportive environment for professional growth with training opportunities and career development assistance. A Bachelor's degree and 10 years of experience in data science are preferred. This full-time position is eligible for multiple benefits including medical insurance and paid time off. #J-18808-Ljbffr

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights. Essential Job Duties • Leverage data science and machine learning processes to answer mission challenges. • Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible • Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. • Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment. • Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines. • Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making. Qualifications Minimum Requirements • Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances. • Minimum 5 years of experience in a data science/engineer role. • Experience developing and using agentic AI frameworks including Autogen. • Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing. • Experience with asynchronous Python development using frameworks like Ray and FastAPI. • Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability. • Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. • Deploying models into multi-node Ray clusters utilizing various GPU resources. • Experience with developing and deploying resources to cloud environments. • Experience working in Linux and Windows environments and managing resources for efficiency. • Demonstrated ETL expertise. Preferred Qualifications • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience. • Experience in the US Intelligence Community. Additional Information Work Environment • Office setting with a combination of desk work and meetings. Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

AeroVironment, Inc. is seeking a Machine Learning Engineer II to develop innovative computer vision solutions. The ideal candidate will have a strong foundation in machine learning, experience in C/C++ or Python, and proficiency with frameworks like TensorFlow. This position involves close collaboration within the Learning and Active Perception group, requiring technical expertise and problem-solving abilities, with a competitive salary range of $102,000 to $144,375, plus a comprehensive benefits package.

Position Title: Senior Computer Vision Engineer Requisition ID: TA206 Location: Remote Application Deadline: We are accepting applications on an ongoing basis Who We Are Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation's defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure. Our Culture As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges. Job Description Trusted Space is seeking a Senior Computer Vision Engineer with a bachelor's degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers. Key Responsibilities • Technical Execution Leadership: Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment. • Strategic Technical Planning: Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders. • Lead Model Development: Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints. • Lead Dataset curation: Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run. • Research & Innovation: Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance. Qualifications • United States citizenship required • Bachelor's degree in Imaging Science, Computer Science, Computer Vision, or related field • 8+ years of experience in Computer Vision • 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features • Strong Proficiency in Python, C++, or other relevant languages • Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn • Strong foundation in mathematics, statistics, and linear algebra • Ability to identify and solve complex problems related to imagery analysis • Presenting technical choices and trade-offs to executives and non-technical clients • Ability to effectively communicate technical information to executives and non-technical audiences Desired Skills • Master's or PhD degree in Imaging Science, Computer Vision, or Computer Science • Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection • Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and RayTune • Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors • Experience building and designing modern architectures such as CNNs and Vision Transformers • Experience with data analysis tools and techniques such as JupyterLab, Napari, and Monai, and convey complex results • Experience with modern offline data labeling techniques • Active TS/SCI clearance or eligibility to obtain one Salary Range: The salary range for this role is $160,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations. Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; p

Description Join us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), a US Department of Transportation (USDOT) onsite R&D lab located at the Turner Fairbank Highway Research Center. STOL’s focus is on improving transportation system operations to achieve USDOT’s safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R&D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, and AI/ML modeling in a fast-paced and collaborative laboratory environment to solve novel transportation research problems. Learn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL To promote these efforts, Leidos is looking for an onsite Mid-level Software Engineer (Must have at least a minimum of 1-2 years of experience with C++) to join our team! CANDIDATE MUST: be able to work onsite full time in McLean, VA AND have the Ability to obtain and maintain a Public Trust security clearance (which includes current three years of immediate residency in the US). Primary Responsibilities: • Analyze and assess the team’s existing ITS software systems to understand their architecture, and how they can be redesigned into more modular, scalable, and maintainable components. • Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams. • Work with cross-functional internal team to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work. • Lead the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs. • Directly interact with on-site customer representatives and external stakeholders to communicate across technical disciplines as needed throughout a project’s life cycle. • Lead development for research prototypes and proof-of-concepts for various intelligent transportation systems (ITS) applications across a variety of ITS devices, including infrastructure, vehicle, and cloud systems. • Participate in and help shape our open-source software process, triaging and addressing issues reported by external users and evaluating 3rd party code contributions. • Identify, document, and formulate approaches to addressing areas of technical debt. • Conduct hands-on test events and demonstrations, on-site at TFHRC and off-site at test facilities. Minimal Qualifications: • A Bachelor’s degree in computer science or engineering with a minimum of 4+ years of professional experience in object-oriented software development, or a Master’s degree with at least 2 years of professional experience in object-oriented software development. • MUST have a minimum of 1-2 years of hands-on experience and familiarity with manual memory management in C++ and preferably experience with other programming languages (i.e., C, Java, or Python). • Experience with Git. • Experience with Docker (including docker-compose). • Experience developing in an Agile framework using toolsets such as JIRA and Confluence. • Proficiency in software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.). • Interest and motivation to develop software to answer valuable research questions to advance transportation technology. (R&D environment) • Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics. • Experience in developing solutions to open-ended research questions and developing novel approaches to solving problems. • Strong ability and interest to learn new problem domains, new skills, algorithms, and concepts. Preferred Qualifications: • This position involves working directly with customers, so candidates need to be approachable and responsive to their needs. The ideal individual should possess strong communication skills and a willingness to assist customers effectively, ensuring a positive experience in every interaction. • Strong preference for experience with transportation programs • Experience with Linux build systems and package management systems. • Experience with Kafka or similar message broker systems. • Experience with Robot Operating System (ROS). • Experience with user interface (UI) and/or front-end development. • Familiarity with distributed computing and cloud computing concepts. • Familiarity with one or more robotics concepts such as localization, path planning, perception, or sensor fusion. • Familiarity with simulation environments s

Job Number: R0238504 Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data. The successful candidate will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time. What You'll Work On: • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust. • Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications. • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. • Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust. Join us. The world can’t wait. You Have:  • 7+ years of experience in sensor fusion and target tracking • Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM • Experience in artificial intelligence, data science, machine learning engineering, or software engineering • Experience with developing technical solutions using Python, C++, or Rust • Secret clearance • Bachelor's degree in Science, Technology, Engineering, or Mathematics Nice If You Have:  • Experience with embedded systems programming in C, C++, or Rust • Experience in GPU programming, including CUDA or RAPIDs • Experience with developing in-space solutions • Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment • TS/SCI clearance • Master’s degree in Computer Science, Artificial Intelligence, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About The Team Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain. About The Job We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles. This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC. What You’ll Do • Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field • Develop and maintain core libraries and runtime applications • Integrate classical and geometric methods in computer vision with ML methods • Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation • Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives • Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations • Collaborate across multiple teams to plan, build, and test complex functionality • Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints • Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems • Design of flight software and firmware, algorithms, and simulation products • Development of space vehicle autonomy tools for dynamic space operations • Test process development and execution • Define automated fault detection and responses • Provide hardware-in-the-loop and monte-carlo simulation capabilities Required Qualifications • MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision • BS in Computer Science, Machine Learning, Electrical Engineering, or related field • Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets • High proficiency in C++ development in a Linux environment • Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT) • Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion • Ability to quickly understand and navigate complex systems and detailed requirements • Familiarity with terminal guidance, rendezv

Description of Services/Responsibilities: • Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization • Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning • Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows • Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques Basic Requirements • TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts • Must be willing to work in SCIF daily or as needed • 5+ years of professional machine learning engineering experience with a focus on deep learning • 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs) • Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters) • Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques • 4+ years of advanced Python development for ML workloads • Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate) • Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron) • 3+ years of experience with computer vision or multimodal models • Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar) • Experience processing and augmenting image datasets at scale • 3+ years of experience with AWS ML infrastructure SageMaker Training jobs, Processing jobs, and endpoint deployment GPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e) S3 data management for large-scale training datasets • 2+ years of experience building ML evaluation pipelines Automated benchmarking, metric computation, and result analysis Experience with both quantitative metrics and qualitative/human evaluation approaches • Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows) Preferred Qualifications: • 2+ years of experience with geospatial or remote sensing imagery Familiarity with electro-optical and SAR satellite imagery formats and characteristics Understanding of geospatial metadata, coordinate systems, and imagery preprocessing • Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX) Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments) Familiarity with data annotation platforms and active learning workflows for imagery Experience with containerized ML workflows (Docker, ECR, ECS/EKS) 2+ years of experience with Authority to Operate (ATO) processes in government environments Implementation of NIST 800-53 controls and security compliance for ML systems • Experience deploying models in air-gapped or disconnected environments Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents) Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI Experience with synthetic data generation for training data augmentation Complete items below line after a partner is selected

Job Summary Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our Global Government customers. Are you excited to help Government customers leverage generative AI in their missions? Eager to learn from many different enterprise use cases of AWS ML and generative AI? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? Come join us! At Amazon Web Services (AWS), we are helping the federal government build and use AI on the AWS Cloud. This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. Key Job Responsibilities • Lead the design of generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers. • Work closely with Specialist Solutions Architects to enable large-scale customer use cases and drive adoption of AWS AI platforms. • Provide guidance to other field specialists on customer engagements and develop white papers, blogs, reference implementations, and presentations to enable customers and partners. • Create field enablement materials for the broader SA population to help them integrate AWS AI solutions into customer architectures. • Leverage expertise in artificial intelligence, machine learning, deep learning, or generative AI to help AWS customers with enterprise-grade AI solution architecture, software selection, and data science workflows. Qualifications Basic Qualifications • 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics. • 3+ years of design, implementation, or consulting in applications and infrastructures. • 10+ years of IT development or implementation/consulting in the software or Internet industries. • Active US government security clearance of Top Secret or above, or equivalent military experience. Preferred Qualifications • 5+ years of infrastructure architecture, database architecture, and networking experience. • Experience working with end-user or developer communities. • Experience designing or architecting new and existing systems with design patterns, reliability and scaling; or experience deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware. • Experience working with Data & AI technologies including AI/ML, GenAI, analytics, database, and storage. Equal Opportunity Employment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Compensation Salary ranges: USA, NY, New York – 169,000.00 – 228,600.00 USD annually. USA, VA, Arlington – 153,600.00 – 207,800.00 USD annually. USA, VA, Herndon – 153,600.00 – 207,800.00 USD annually. Benefits include health insurance, 401(k) matching, paid time off, parental leave, and more.

About The Job The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency. The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU). What You'll Do Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission. YOUR DAY TO DAY • Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts • Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases • Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case • Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems • Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization • Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations • Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data • When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations • Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues • Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications • Implement tooling to estimate the environmental impact of deployed AI systems • Stay abreast of important developments in the generative AI research and development space FUTURE ACLU'ERS WILL • Be committed to advancing the mission of the ACLU • Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives • Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts What You'll Bring • Substantial research or professional experience on issues related to fairness, accountability

About ARSIEM Corporation At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. ARSIEM is looking for a motivated AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities. This position will support one of our government clients in Linthicum, MD. Responsibilities • Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines. • Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. • Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management. • Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems. • Support security assessments and authority to operate (ATO) processes. Minimum Qualifications • Bachelor's degree plus 5-years of relevant experience or equivalent. • Proficiency in Python, LLM integration, and data engineering. • Experience with static analyzers, RAG framework, and relational and vector databases. • Familiarization with Agile, Git, Jira, and Confluence. Preferred Qualifications • Familiarization with RUST, claude Code, Codex, and CI/CD. $126,000 - $141,000 a year The ARSIEM pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other laws. Benefits: For an overview of our benefits, please visit our benefits tab. https://www.arsiem.com/careers/ Original Posting Date: 2026-05-28 Clearance Requirement: This position requires an active TS/SCI with a polygraph. You must be a U.S. citizen for consideration. Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $10,000, and the referrer is eligible to receive the sum for any applicant we can place within 12 months of referral. The bonus is paid after the referred employee reaches six months of employment. ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Number: R0241401 AI/ML Engineer and Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: • 3+ years of experience with statistical and general-purpose programming languages for data analysis • 3+ years of experience analyzing structured and unstructured data sources • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining • Experience developing predictive data models, quantitative analyses and visualization of targeted data sources • Experience with natural language processing, text mining, or machine learning techniques • Experience with REST APIs, webhooks, and automation middleware • Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms • Knowledge of AI and ML workflows leveraging existing AI and ML tools • TS/SCI clearance • Bachelor's degree Nice If You Have: • Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL • Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2 • Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly prov

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: • Health, dental, vision, life, disability insurance • Retirement Benefits: 401(k) with company match • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks • Baby Bonding Leave: 18 weeks • Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Cambridge, MA, USA; Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA; Goleta, CA, USA. Minimum qualifications: • Master's degree in Electrical Engineering, Physics, related engineering discipline, or equivalent practical experience. • Experience in superconductor logic families (e.g., RSFQ, ERSFQ, RQL, HFQ, AQFP). • Experience performing tape-out of a superconducting IC chip. • One or more published research paper or presentation at a relevant scientific conference. Preferred qualifications: • PhD in physics, electrical engineering, or a related engineering discipline. • 7 years of research/industry experience in the design and simulation of superconductor digital logic circuits with 3 years of experience leading an Research and Development (R&D) group towards tape-out and demonstration of superconducting IC chips. • Experience with full digital design flow including RTL, synthesis, verification, timing closure, place-and-route, and post-fabrication validation. • Experience with low-temperature measurements of superconductor digital logic circuits. • Experience with superconducting qubits. • Proficiency with computer-aided design tools and electromagnetic simulation tools. About the job As a Research Scientist, your primary focus will be designing and simulating superconductor digital logic circuits (such as single flux quantum (SFQ) logic and adiabatic quantum flux parametron (AQFP) logic) for qubit control and readout. You will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. You will also interface with fabrication engineers to help define and establish IC design standards that are compatible for both the sensitive superconducting qubits and the co-located cryogenic control electronics. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computer. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computers. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities • Design and simulate superconductor digital logic circuits (such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic, and other emerging superconductor logic families) for generating waveforms tailored to qubit control and readout. • Develop superconductor digital logic systems enabling multiplexed qubit control and readout

J For an European institution in Brussels, Belgium, we are looking for a Senior AI & NLP Engineer. Candidates need to be fluent in English. A work permit is required, but not provided. This position is open for contractors. Tasks and Responsibilities: • Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI); • Training of custom machine learning / deep learning models based on structured and unstructured data; • Selecting features, building and optimizing classifiers using ML techniques; • Develops aiming at improving the quality of machine translation (MT) engines for each installed language pair; • Interact with data stewards and other IT stakeholders to define the data rules; • Define data controls and implement actions to ensure data quality and integrity; • Creating automated anomaly detection systems and constant tracking of its performance; • Data mining using state-of-the-art methods; • Processing, cleansing, and verifying the integrity of data used for analysis; • Design the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts; • Analyse data architecture for consistency, completeness, accuracy and reasonableness; • Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements; • Provision of expert advice and assistance in any area associated with the AI and Data Warehouse technologies; • Perform design, development and maintenance of BI and reporting software that both follow the reference architecture rules and accurately implement the specifications; • Assistance and support to the Advanced Analytics developers; • Provision of technical studies, technical expertise, technical evaluations in relation with AI systems; Profile: • Bachelor or Master degree; • +9 years of IT experience; • Excellent experience of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas…); • Strong experience with ML techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and AI frameworks; • Experience in the field of corpus based linguistics and alignment models and classification methods; • Experience with data analytics over big datasets, non-structured databases as well as data lakes; • Previous experience with Data Management, Database Mining systems and in Big Data technologies; • Experience with AWS and/or Azure, Oracle RDBMS and PL-SQL; • Previous exposure with Linux, Unix, Bash and scripting languages; • Good knowledge of natural language processing systems lifecycle and agile software development methodologies; • Good knowledge of quality assurance and quality control for machine translation (MT) and experience with MT quality procedures, testing methodologies and tools, such as automatic quality metrics (BLEU scores and similar) and human evaluation of MT quality; • Some experience with query languages, such as SQL, Hive, Pig, etc; • Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc; • Knowledge of data visualisation tools, such as D3.js, GGplot, etc; • Certification in AWS Certified Machine Learning or Microsoft Azure AI Engineer Associate or SAS Certified Professional AI and Machine Learning Certification is an Advantage; • Fluent in English; Interested: If you are interested in this opportunity, please forward your CV to . Following countries are part of the European Union: Austria, Belgium, Bulgaria, Croatia, Republic of Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain and Sweden.

Codefeast Enterprises is seeking a Machine Learning Engineer specializing in Computer Vision and NLP. The role involves designing and deploying machine learning solutions for document and content intelligence applications. Candidates must have 2+ years of experience and proficiency in Python and deep learning frameworks like PyTorch and TensorFlow. This is a remote job with a mandatory onsite visit every three months. Enjoy a flexible work environment and an opportunity to work on impactful AI products.

Title: Lead Product Manager - AI & Strategic Initiatives Location : DC Metro Area Target Start Date : ASAP Type: contract Pay Rate: DOE The Lead Product Manager is responsible for the planning, execution, and lifecycle management of one or more products, including all aspects of the Product Development Lifecycle (PDLC): backlog management, discovery, design, engineering collaboration, and production delivery. This role partners closely with technology and business stakeholders to define product vision, develop strategic roadmaps, and prioritize development initiatives. The Lead Product Manager works cross-functionally to ensure objectives, timelines, and commitments are successfully achieved. Responsibilities • Partner with Engineering, UX, and business stakeholders to deliver products that solve critical business problems and provide an excellent user experience. • Guide and support cross-functional teams throughout the product development lifecycle to ensure alignment with business objectives. • Drive continuous product improvement through user feedback, research, usability analysis, and sentiment studies. • Prioritize and manage the product backlog based on business value, impact, and development effort. • Develop product vision, strategic roadmaps, and long-term planning initiatives. • Assist with budgeting, resource planning, and business case development. • Facilitate collaboration across teams to ensure successful delivery and adoption of product capabilities. • Communicate product strategy, priorities, and status updates to stakeholders and leadership. Qualifications • Bachelor's degree in Business, Information Technology, or a related field. • Master's degree preferred. • 7-10 years of Product Management experience. • Strong analytical, problem-solving, and decision-making skills. • Excellent communication and interpersonal skills with the ability to influence stakeholders at multiple levels. • Ability to navigate complex challenges and manage competing priorities effectively. • Demonstrated success building strong cross-functional working relationships. • Experience creating technical and business documentation including functional requirements, workflows, use cases, and related artifacts. • Strong organizational skills with attention to detail and execution. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Data Scientist -Project Delivery Senior Analyst - AI & Engineering Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client's need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals. Recruiting for this role ends on June 22nd 2026 Work you'll do/Responsibilities The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required • 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow). • 4+ years of experience with feature engineering, model development, validation, and deployment. • 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes. • 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes. • 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization. • 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML). • 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience • Limited immigration sponsorship may be available • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred • Analytical/ Decision Making Responsibilities • Analytical ability to manage multiple projects and prioritize tasks into manageable work products • Can operate independently or with minimum supervision • Excellent Written and Communication Skills Ability to deliver technical demonstrations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000

Senior Manager, Data Scientist - Applied AI Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Card Genesis team builds and ships state-of-the-art Gen AI models that serve as the intelligence for Capital One’s US Card business. We are the driving force behind AI in Payments, architecting custom solutions for time-series sequencing, natural language, and agentic reasoning at a massive scale. We partner with product, tech, and design teams to deliver next-generation applications that redefine how 80+ million customers interact with their finances. You will work with a seasoned group of AI/ML specialists, experimenting with emerging technologies in Generative AI to bridge the gap between world-class research and real-world production. As a key member of this team, you will contribute to the global AI community while delivering the software that powers the future of the global payments ecosystem. Role Description In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money. • Leverage a broad stack of technologies—Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more—to reveal the insights hidden within huge volumes of numeric, textual, and sequential transaction data. • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs) and Transformer-based architectures, adapting and fine-tuning them for customer-facing applications and features. • Build Gen AI and Sequence models through all phases of development, from design and pre-training through evaluation and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. • Flex your interpersonal skills to translate the complexity of your work—including model explainability and architectural trade-offs—into tangible business goals. The Ideal Candidate is: • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. • Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. • Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. • You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. • You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics • A Master's Degree in a quantitative field (Statistics, Economics, Ope

Industry/Sector Not Applicable Specialism Assurance Management Level Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the AI Engineering team, you will design, test, and deploy innovative AI/ML solutions that drive productivity and innovation. As a Manager, you will lead teams, mentor junior staff, and leverage your knowledge to secure successful project delivery while cultivating meaningful client relationships. This role offers a unique chance to stay at the forefront of industry trends and champion AI-assisted development, making a significant impact on our processes and solution design. Responsibilities - Design, test, and implement advanced AI and machine learning solutions - Collaborate with diverse teams to secure project alignment and success - Stay updated on industry advancements and practices for continuous improvement - Advocate for the use of AI tools to enhance operational productivity - Provide mentorship and constructive feedback to junior staff - Inspire and motivate team members to achieve exceptional performance - Manage project timelines and deliverables to meet client expectations - Analyze complex problems and develop innovative solutions What You Must Have - Bachelor's Degree - At least 5 years of professional AI / ML development or testing experience - At least 1 year of experience as a technical lead or engineering / data science manager What Sets You Apart - Bachelor's Degree in Accounting, Business Analytics, Analytics, Software Engineering, Computer Engineering preferred - Ability to implement AI thinking in teams - Driving efficiencies across engineering or data science workflows - Testing AI effectively - Analyzing and building data models - Preprocessing and handling large datasets - Developing and deploying models in PyTorch, TensorFlow, or JAX - Staying current on industry trends and tools - Mentoring junior team members with coaching and feedback Travel Requirements Up to 20% Job Posting End Date The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following

Georgetown University is seeking a Data Scientist for the Center for Security and Emerging Technology (CSET) to engage with a collaborative team. The ideal candidate will develop data pipelines, enhance dataset utility, and support rigorous policy research. This role requires a Bachelor's degree in a quantitative field and 5 years’ experience in quantitative analysis. The position offers a hybrid work model and a salary range of $80,429.00 to $157,238.93. #J-18808-Ljbffr

Reston, VA Contract Jun 2, 2026 Full Stack Data Scientist (AI/ML) - We are seeking a Full Stack Data Scientist to develop AI/ML solutions end-to-end, from business problem formulation and model development through production-ready application delivery and operationalization. This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience. The ideal candidate builds models that matter, writes code that lasts, and partners with platform teams to deploy, monitor, and operate AI/ML solutions efficiently and reliably at scale. Key Responsibilities • Translate complex business requirements into AI/ML-based technical solutions and ensure efficiency, scalability and reliability • Design, develop, validate, and document AI/ML models and applications • Build production-grade Python code and pipelines for data processing, feature engineering, training, and inference. • Develop model-driven applications and services (batch or real-time). • Apply software engineering best practices including modular design, testing, code reviews, and CI/CD. • Collaborate with MLOps teams on deployment, monitoring, versioning, and retraining. • Implement model performance, stability, and data drift monitoring. • Produce documentation to support governance, validation, and audit requirements. Required Qualifications • Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production. • Strong experience in statistical modeling, machine learning, AI, and applied analytics. • Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ). • Experience writing production-ready, maintainable code and application design. • Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift). • Experience with model deployment and MLOps practices • Strong problem-solving and communication skills. Education Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.

Sr AI/ML Engineer with Data Scientist and MLOps experience Type: W2 With Benefits - No C2C Location: Hybrid 2-3 days onsite in Washington, DC Top 5 Technical Skills: • Statistical modeling, machine learning, AI, and applied analytics • Python • AWS ML Platforms (AWS SageMaker, MLFlow, S3, compute services, Redshift) • Model deployment and MLOps practices • Data Processing Job Description: We are seeking a Full Stack Data Scientist to develop AI/ML solutions end-to-end, from business problem formulation and model development through production-ready application delivery and operationalization. This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience. The ideal candidate builds models that matter, writes code that lasts, and partners with platform teams to deploy, monitor, and operate AI/ML solutions efficiently and reliably at scale. Key Responsibilities • Translate complex business requirements into AI/ML-based technical solutions and ensure efficiency, scalability and reliability • Design, develop, validate, and document AI/ML models and applications • Build production-grade Python code and pipelines for data processing, feature engineering, training, and inference. • Develop model-driven applications and services (batch or real-time). • Apply software engineering best practices including modular design, testing, code reviews, and CI/CD. • Collaborate with MLOps teams on deployment, monitoring, versioning, and retraining. • Implement model performance, stability, and data drift monitoring. • Produce documentation to support governance, validation, and audit requirements. Required Qualifications • Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production. • Strong experience in statistical modeling, machine learning, AI, and applied analytics. • Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ). • Experience writing production-ready, maintainable code and application design. • Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift). • Experience with model deployment and MLOps practices • Strong problem-solving and communication skills. Education Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. Benefits: SES hires W2 benefitted and non-benefitted consultants. Our contract employee benefits include group medical dental vision life LT and ST disability insurance, 21 days of accrued paid time off, 401k, tuition reimbursement, performance bonuses, paid overtime, and more. Please contact me to discuss the details of this position further. • Please forward resume directly to for immediate consideration - rstarinieri at sesc .com I look forward to speaking with you soon! Robin Starinieri Director of Recruiting Systems Engineering Services

Description Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Baseline. Common Baseline is a mission-critical, future-ready automation solution built on a hybrid cloud data mesh architecture. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud-native and AI-enabled capabilities. You will work alongside cross-functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety-critical environment. In this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and DevSecOps teams. The primary focus is on developing microservices-based applications within an Agile/SAFe environment. Experience with AI-enabled or data-driven systems is advantageous. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation This position is located in Gaithersburg, MD or in Egg Harbor Township, NJ. This is an opportunity to contribute to projects that impact millions of air travelers. This is a hybrid position requiring 3 days onsite and 2 days working from home. This role focuses on building and modernizing real-time, safety-critical systems using a combination of traditional systems engineering and AI-augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability. What You’ll Do • Design, develop, and maintain microservices-based applications using modern software engineering best practices • Collaborate with product owners, architects, and engineers in an Agile/SAFe environment • Participate in sprint planning, daily standups, reviews, and retrospectives • Collaborate with systems engineering and program teams to translate requirements into working software solutions • Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices • Contribute to system design discussions and technical decision-making • Integrate services with databases, messaging systems, and external APIs • Support troubleshooting, performance tuning, and continuous improvement • Work closely with QA, DevOps, and platform teams to ensure reliable delivery • Implement modern automated testing strategies, including unit, integration, contract, and end-to-end testing • Use AI-assisted development tools to accelerate coding, refactoring, debugging, and test creation Core Technical Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience) • 2+ years of relevant experience or a Master's Degree • Hands-on experience building and supporting microservices-based systems • Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux-based system) • Experience or exposure to AI/ML-enabled systems (Claude-Code), automation, or intelligent platforms. • Experience working in Agile environments • Understanding of APIs and distributed system concepts • Ability to obtain and maintain a Public Trust • U.S. citizenship required • Successful completion of background investigations as required by the government customer Preferred / Desired Qualifications • Experience with Git-based version control and CI/CD pipelines • Familiarity with Scaled Agile Framework (SAFe) • Experience working with relational and/or NoSQL databases • Hands-on experience with Kafka or other event-streaming technologies • Cloud experience (AWS, Azure, or GCP) • Containerization and orchestration experience (Docker, Kubernetes) • Experience working in DevSecOps environments • Experience with test automation frameworks and integration of automated test suites into CI/CD pipelines Why Leidos? You’ll work on systems where performance, precision, and reliability matter — every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software that supports national infrastructure. If you’re excited by solving complex problems in regulated, real-world environments — and using AI as a force multiplier rather than a shortcut — we’d like to talk. ATMC If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: April 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipat

Job Number: R0241401 AI/ML Engineer and Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have:   • 3+ years of experience with statistical and general-purpose programming languages for data analysis • 3+ years of experience analyzing structured and unstructured data sources • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining • Experience developing predictive data models, quantitative analyses and visualization of targeted data sources • Experience with natural language processing, text mining, or machine learning techniques • Experience with REST APIs, webhooks, and automation middleware • Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms • Knowledge of AI and ML workflows leveraging existing AI and ML tools • TS/SCI clearance • Bachelor’s degree Nice If You Have:   • Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL  • Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2 • Master's degree Clearance:  Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.  Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicit

Overview San Francisco Bay Area, California, United States — Machine Learning and AI Description This is a role for a CVML software engineer with a strong focus on developing real time visual perception algorithms for long term localization. As part of your role, you will have the chance to contribute in cross-functional projects to develop core real time perception extending the scope of our existing localization system to more challenging scenarios. Responsibilities • Some of the main responsibilities for this role include: • To implement new CVML state of the art algorithms on our real time CVML framework at production level • To support visual debugging and algorithm evaluation. • To support development leveraging other frameworks / tools specific to on-device deployment • To design, test and maintain algorithm’s APIs in C/C++ • To optimize algorithm pipelines for different SW platforms (iOS, MacOs) and HW architectures (CPU/GPU/others) Minimum Qualifications • MSc / PhD in computer vision, robotics; alternatively a comparable industry career, with significant experience on delivering products using state-of-the-art computer vision, machine learning technologies. • 3+ years of experience developing high quality software • Solid fundamentals in Computer Vision and Deep Learning • Solid experience with Deep learning frameworks and tools: PyTorch (preferred), ASW • Experience with development of real time SLAM/Relocalization systems • Excellent software design, problem solving and debugging skills • Excellent communication and teamwork skills (team player, self motivated, fast learner) Preferred Qualifications • Familiarity with macOS, iOS operating systems (preferred) • Familiarity with build systems Xcode / CMake (preferred) • Expertise with internal CV/ML frameworks for MacOS, iOS • Expertise on development of real time SLAM/Relocalization systems using vision, WIFI, depth, inertial sensors • Expertise on development realtime Visual Place Recognition using most recent Deep Learning SoTA Compensation and Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Equal Opportunity Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr

Description Application deadline: Jun 6, 2026 This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the technical background, customer experience, and skills necessary to help accelerate customer adoption of Amazon Connect's AI capabilities? Do you love building new strategic and data-driven businesses? Join the Applied AI Solutions team as an Amazon Connect Specialist Solutions Architect! The Applied AI Solutions Architecture team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. Applied AI Solutions is part of the AWS Specialist & Partner (ASP) org, which works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. A critical dimension of this role is Customer Data Readiness — assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect deployments. We stay closely connected to our customers and bring valuable data and insights to our product teams, strengthening the product roadmap. Our team is at its best when a customer is thinking big and needs specialized experience to innovate for their business. Key job responsibilities • Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness. Translate findings into actionable implementation plans. • Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses. • Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration. • A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries. • Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases). • Cloud Data Access: Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG). • Agentic IDE Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation. • Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment. • Field Enablement: Share learnings, delivering technical deep-dives, and mentoring other SAs on agentic AI implementation patterns. A day in the life • Conducting data readiness assessments, identifying gaps in knowledge base coverage, and recommending data preparation steps before AI agent configuration • Designing prompt strategies and evaluating model performance across different foundation models • Building Lambda functions and API integrations that serve as tools for AI agents • Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption • Designing A2A workflows where Amazon Connect

About The Role The role bridges state-of-the-art language model research and the constraints of real production systems - latency, cost, interpretability, and compliance. You will work directly with research teams to fine-tune, evaluate, and deploy NLP models, and with engineering teams to make those models work reliably in client environments. Key Responsibilities • Fine-tune and evaluate transformer-based models (BERT, T5, LLaMA, Mistral) for named entity recognition, relation extraction, classification, and text generation tasks • Build systematic evaluation frameworks: benchmark datasets, human-evaluation pipelines, and automated regression suites for NLP model quality • Develop preprocessing pipelines for unstructured text - legal documents, clinical notes, financial filings - including OCR post-processing and entity normalization • Collaborate with product engineers to deploy NLP models within latency and cost constraints; implement distillation, quantization, and caching strategies as needed • Stay current on NLP/LLM research literature and evaluate its relevance to active client problems; bring relevant advances into production-ready implementations • Document model architecture, evaluation results, and known limitations clearly for both technical teammates and client-facing stakeholders • Participate in literature reviews, internal research discussions, and occasional external publications or conference presentations What We Are Looking For • 1–4 years of applied NLP or ML engineering experience, with hands-on model development beyond prompt engineering • Deep familiarity with Hugging Face Transformers, tokenizers, and the broader transformers ecosystem • Strong Python; experience processing and cleaning real-world unstructured text data at scale • Understanding of core NLP concepts: tokenization, embeddings, attention mechanisms, sequence labeling, span extraction • MS or PhD in Computer Science, Computational Linguistics, Statistics, or a related field strongly preferred • Ability to read and implement published NLP research papers independently • Bonus: experience with spaCy, Prodigy annotation tools, LLM-based NER, or RLHF methodologies Location Pittsburgh, PA (Carnegie Mellon corridor) • New York City • Boston • San Francisco • Seattle • Remote strongly considered

A leading data privacy firm in San Francisco is seeking a hands-on Machine Learning Engineer to develop production-grade NLP systems.The ideal candidate will have over 3 years of experience in applied machine learning, particularly in NLP, and proficiency in Python and PyTorch.This role offers high autonomy and the opportunity to work with impactful data in various domains, including healthcare and finance.Competitive salary and comprehensive benefits are provided..

Inside Higher Ed is seeking a Research Software Engineer specializing in Clinical NLP at the Johns Hopkins Data Science and AI Institute. The role involves designing cutting-edge NLP systems to extract insights from clinical text, requiring a strong background in machine learning and large language models. This position not only supports groundbreaking research but also offers the chance to work within a collaborative environment, focusing on the intersection of healthcare and technology. A Master’s degree and substantial software development experience in clinical NLP are preferred.

Job Title: Senior AI/ML Engineer, Audio and NLP Location: Washington, DC Duration: Full-time (Direct Hire) Schedule: Hybrid Role Job Description: About the Role: As a Senior AI/ML Engineer, you will work on audio event detection, speech recognition, transcription, NLP models, and related production pipelines. You should be comfortable taking a capability from data preparation through training, testing, evaluation, deployment support, and performance monitoring. This role is ideal for an engineer with strong Python experience who understands applied machine learning, model evaluation, and production inference. Experience with lower-level or object-oriented languages such as C++ or Go is a plus. Responsibilities: • Develop, fine-tune, test, and evaluate audio, speech, transcription, and NLP models. • Work with Whisper or comparable speech models, as well as broader NLP model families. • Build and maintain data pipelines and inference pipelines for model-driven capabilities. • Define metrics and evaluation methods for each model, algorithm, or pipeline delivered. • Support audio event detection, speech detection, transcription, parsing, and related workflows. • Analyze model quality, latency, robustness, failure modes, and operational limitations. • Collaborate with backend, data, product, and AI/ML teams to integrate capabilities into the broader platform. • Document model behavior, evaluation results, limitations, and operational considerations. Required Qualifications: • 5+ years of professional software engineering, machine learning, data science, or applied AI experience. • Strong proficiency in Python and modern machine learning frameworks. • Experience with ASR, audio ML, speech processing, NLP, transcription systems, or related applied ML domains. • Experience training, fine-tuning, testing, and evaluating machine learning models. • Experience building data pipelines, inference pipelines, or model-serving workflows. • Ability to define meaningful metrics and evaluation approaches for model performance and system behavior. • Strong understanding of data quality, model performance tradeoffs, and production ML practices.

Job Description Job Title: Artificial Intelligence AI Engineer – Gen AI, NLP Location: Washington, DC / Remote (Work-from-Home) Clearance: Must be a U.S. Citizen able to obtain Secret Clearance. Employer: @Orchard LLC (Talent Pool for upcoming assignments) Job Description: @Orchard LLC is anticipating a need for several AI Engineers experienced in Generative AI and Natural Language Programming (NLP) to support the Federal Government on several remote assignments. The objective is to identify qualified and interested prospects for rapid deployment as needs arise. Responsibilities: • Design and implement GenAI-powered solutions (LLMs, embeddings, prompt orchestration) • Develop NLP pipelines and text-based data processing systems • Integrate AI/ML capabilities into production data environments • Evaluate model performance, scalability, and reliability • Support deployment of AI solutions in mission-critical environments • Deliver client-facing data solutions in federal environments • Translate business needs into production-grade technical systems • Operate in Agile teams and support the full delivery lifecycle • Develop audit-ready documentation, SOPs, and technical artifacts • Contribute to internal platforms, accelerators, and innovation Required Background: • Experience in AI/ML engineering, analytics, or software development • Experience with NLP, LLMs, or advanced analytics • Proficiency in Python and SQL • Strong problem-solving skills and technical execution ability • Ability to operate effectively in client-facing consulting environments • Experience supporting federal or regulated environments Preferred Skills: • Experience with cloud environments (Azure, AWS, GCP) • API development and system integration • Familiarity with data governance, auditability, and secure data handling Compensation: • Base salary range: $120,000 - $230,000 • Generous benefits, bonus eligibility, and significant professional development support Company Info: Established in 2010, @Orchard provides staffing solutions to time-sensitive, talent scarcity issues. Specializes in program talent acquisition and resource management across technical and functional delivery areas. Application: Visit www.atorchard.com for more opportunities.

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About The Team The Product Manager for the AI Acceleration team plays a critical role in achieving our goal of reimagining the status quo and finding new value creation opportunities. This is a transformational leadership role where you will lead a large cross-functional team through the entire product lifecycle all the way from initial research to proposing solutions and shipping. You will work closely with a team of product managers while partnering with designers, engineers, data scientists, and business partners to leverage various AI capabilities to deliver customer-facing solutions. Through this collaboration, you will help to shape the product strategy and deliver innovative experiences that meet the unique needs of our customers as the ongoing AI revolution transforms our society and industry. Your product forms a key cornerstone of Capital One’s future blending human-centered servicing needs with a deep technical understanding of the rapidly developing state of language models. To be successful, you will need a deep passion for language research, methods, Generative AI, and designing AI agents. You will apply product-centric thinking to identify and resolve complex problems, delivering intuitive solutions that improve both the associate and customer experience. You must be equally comfortable navigating technical development with our engineering and data science partners as you are educating and advocating for these next-generation solutions with senior leaders to drive organizational alignment. Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: • Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions • Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence • Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value • Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks • Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: • At least 3 years of experience working in Product Management • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: • Experience translating business strategy and analysis into consumer facing digital products • Experience managing an AI solution in the market At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits

We're seeking an amazingly talented AI Product Manager to join our team! In this role you will get to provide strategic and operational guidance to teams developing AI-enabled solutions. This role is suited for an experienced product-oriented professional who can help shape priorities, align stakeholders, drive disciplined execution, and keep technical efforts focused on mission value. This individual does not need to be a software engineer, but should possess strong technical fluency and enough AI literacy to engage credibly with engineers, data scientists, platform teams, and government leadership. The ideal candidate understands how to translate mission needs into executable plans, keep complex efforts on track, and identify when programs are drifting from useful outcomes. Above all, we want someone with authentic curiosity and passion-someone who actively studies the AI landscape, learns continuously, and brings informed perspective to a fast-changing field. What You'll Be Doing: • Provide SETA advisory support to government leadership and technical teams on AI product strategy, planning, and execution. • Help define and refine AI use cases, product goals, success criteria, priorities, and delivery roadmaps. • Guide teams in aligning AI solution development with mission outcomes, user needs, operational constraints, and program objectives. • Monitor effort execution and help keep teams on track with milestones, dependencies, risks, and decision points. • Support requirements development, backlog shaping, capability prioritization, and stakeholder coordination. • Translate between technical teams and non-technical leadership, ensuring shared understanding of what is being built, why it matters, and what risks exist. • Advise on AI adoption challenges, including scope control, change management, user trust, operational fit, and realistic implementation sequencing. • Review proposed AI solutions for feasibility, mission relevance, and alignment with available resources and timelines. • Support briefings, planning artifacts, concept papers, product documentation, and executive communications. • Help identify when teams need course correction, sharper problem framing, better metrics, or more disciplined execution. What Required Skills You'll Bring: • Min 18 years with Bachelors, 15 years with Masters degree in a relevant field such as Business, Engineering, Computer Science, Information Systems, Operations, or related discipline. • Experience in product management, technical program support, capability delivery, or requirements management in a government, defense, or complex enterprise environment. • Demonstrated ability to work with technical teams building software, data, AI, or digital solutions. • Strong understanding of product lifecycle concepts, roadmap planning, prioritization, stakeholder management, and execution tracking. • Familiarity with AI concepts, terminology, current capabilities, and practical implementation challenges. • Ability to advise leadership while also engaging productively with engineers and solution teams. • Excellent written, verbal, and briefing skills. What Desired Skills You'll Bring: • Experience supporting AI, data, analytics, or software modernization efforts. • Familiarity with Agile, SAFe, DevSecOps, or iterative capability delivery models. • Ability to understand technical topics such as LLMs, AI tools, cloud platforms, agentic workflows, evaluation, and data dependencies without needing to be a hands-on developer. • Experience in defense, cyber, or operational mission environments. • Background in technology strategy, innovation support, requirements development, or portfolio management. TS/SCI with polygraph is required.

Driving high-impact product initiatives, the full-time remote Principal Product Manager, AI will own the product vision and strategy, lead the design of AI workflows, and collaborate across teams to deliver customer-facing features that enhance cybersecurity capabilities. Key responsibilities Own the product vision, strategy, and roadmap for a major product area, ensuring alignment across stakeholders Define and deliver AI-powered product features, focusing on reducing manual effort for customers and internal teams Collaborate with engineering and data teams to ensure product decisions comply with governance requirements and track success metrics Required qualifications 8+ years of product management experience in a B2B SaaS environment, with a focus on significant product delivery Demonstrated experience with AI-powered features, including agentic workflows and intelligent automation Strong technical fluency in system design, APIs, and product architecture Proven ability to influence stakeholders and drive outcomes at a senior level Data-driven decision maker with experience in defining product metrics and strategies

Ropes & Gray LLP is seeking an AI Product Manager who will lead the delivery and adoption of AI products in Washington D.C. This role requires collaboration with various groups to ensure technology solutions fit the firm's requirements. The ideal candidate brings 5+ years in a professional services environment, law firm experience preferred, and must have a strong background in technology and communication skills. A comprehensive total rewards package ensures professional development and career growth opportunities.

Job Number: R0236429 Artificial Intelligence Solutions Architect, Senior The Opportunity: Designs and implements effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization's strategies and business goals, and key ethical considerations. Applies advanced advising skills or extensive technical expertise, full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction, mentors and may supervise team members. You Have 5+ years of experience implementing IT systems, applications, and infrastructure 5+ years of experience in AI/ML and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks 5+ years of experience designing and implementing a highly available, scalable, and resilient enterprise cloud environment 3+ years of experience deploying solutions using the Amazon AI product tool suite, Sage Maker studio, and Bedrock 3+ years of experience using LLMs, GenAI applications, or agentic AI orchestration frameworks Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements Experience in training and fine-tuning LLMs Knowledge of Big Data solutions, data migration technologies, and processes TS/SCI clearance with a polygraph Bachelor's degree in a Technology field such as Computer Science or Statistics Nice If You Have: Experience providing technical guidance to architects and engineers Experience working in GCP or Microsoft Azure Knowledge of security and compliance requirements for cloud-based solutions, network architecture, and security principles Master's degree in a Technology field, such as Computer Science or Statistics preferred; Doctorate degree in a related Technology field a plus Security, Cloud, or Software Development Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during mee

Andrew Morgan LLC (AM) is a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone Small Business. We are seeking a motivated and technically skilled AI Engineer or Solution Architect to join our growing team. This is an opportunity to work at the intersection of artificial intelligence, cloud infrastructure and enterprise solutions in a dynamic, mission-driven environment. RESPONSIBILITIES: This is a mid-level position for a hands-on developer or engineer with practical experience building and deploying AI-powered solutions. You will work alongside senior architects and engineering leads to design, develop and deliver intelligent applications that solve real business problems. If you have a background in AI development, machine learning engineering or cloud-based application development and are looking to grow your impact, we want to hear from you. • Design, develop and deploy AI-driven applications and solutions using platforms such as AWS Bedrock, Azure OpenAI, or similar • Build and integrate machine learning models, large language model (LLM) workflows and intelligent automation into enterprise systems • Collaborate with cloud architects to ensure AI solutions are scalable, secure and aligned with enterprise standards • Develop and maintain APIs, pipelines and integrations that support AI and data-driven applications • Contribute to the design and documentation of solution architecture, data flows and technical roadmaps • Support cloud infrastructure tasks related to AI workloads on AWS or Azure • Research and evaluate emerging AI tools, frameworks and platforms to inform solution design • Participate in Agile ceremonies and contribute to project planning, documentation and delivery REQUIREMENTS: • 3 to 5 years of experience in software development, AI engineering or a related technical discipline • Bachelor's degree in Computer Science, Engineering, Data Science or a related field, or equivalent practical experience • Hands-on experience developing with AI or machine learning frameworks and tools (e.g., AWS Bedrock, Azure OpenAI, OpenAI API, LangChain, Hugging Face, or similar) • Proficiency in one or more programming languages such as Python, JavaScript, Java or .NET • Experience working with cloud platforms, preferably AWS or Azure • Familiarity with REST APIs, microservices and cloud-native application development • Strong written and verbal communication skills with the ability to work across technical and non-technical teams PREFERRED QUALIFICATIONS: • Experience with LLM orchestration, prompt engineering, retrieval-augmented generation (RAG) or AI agent development • Familiarity with data platforms such as Databricks, Redshift, Snowflake, S3 or Synapse Analytics • Knowledge of Python, SQL, or data engineering concepts including ETL/ELT and data pipelines • AWS or Azure certifications (e.g., Solutions Architect Associate, AI Practitioner, or equivalent) • Experience in federal, regulated or compliance-driven environments • Exposure to DevOps practices, CI/CD pipelines and infrastructure as code • Familiarity with enterprise data management, NoSQL or data warehousing concepts SALARY: Salary is commensurate with both location and experience. THE AM EMPLOYEE WILL DISPLAYâ?¦ • Attention to Detail: Produce high-quality deliverables and outputs that align with contract outcomes. • Self-Sufficiency: Execute tasks independently, seeking client assistance only after internal resources are exhausted, ensuring requests align with contract goals. • Teamwork: Collaborate effectively with team members, including AMC resources, subcontractors, and government stakeholders. • Communication/Engagement: Maintain professional conduct in meetings and written communication, participating actively with cameras on. • Responsiveness: Stay engaged, communicate promptly, and ensure deadlines are consistently met. ABOUT ANDREW MORGANâ?¦ Andrew Morgan LLC, founded in 2017 and headquartered in Alexandria, VA, is a Service-Disabled Veteran Owned Small Business (SDVOSB) and a certified HUBZone Small Business. We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE). We are committed to providing innovative solutions and exceptional service to support our clients' missions and objectives. BENEFITS: • 15 days of Paid Time Off + 11 Paid Federal Holidays • 401K Program (up to 5% employer matching) • Three Gold Healthcare Options (with 75%-90% employer-paid premiums) • Flexible Spending Account / Dependent Care Assistance Program • Employer-Paid Short Term Disability Insurance • Employer-Paid Long Term Di

AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support an enterprise-wide application and data capability. As an AI engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of AI engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define AI strategy for our national security customers. You Have: Experience in software engineering, ML engineering, and AI systems development using Python Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in production environments Experience implementing advanced prompting strategies, LangChain or LlamaIndex AI orchestration frameworks, vLLM or TGI LLM inference engines, and tool calling or agentic workflows Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines Ability to translate early-stage prototypes into robust, scalable production systems Ability to take ownership of system performance, continuously optimizing for latency, throughput, and high reliability TS/SCI clearance Bachelor's degree Nice If You Have: Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies such as Docker or Kubernetes Experience with underlying model architectures, inference optimization techniques, or fine-tuning open-source models Experience with distributed systems, streaming data such as Kafka, or integrating AI services into larger enterprise microservice architecture Security+ Certification Clearance: Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applica

The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications. Recruiting for this role ends on 8/31/2026. Work you'll do As an AI Solutions Architect on the Insights, Innovation & Operate team, you will be responsible for... • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements • Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers • Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models • Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities • Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices A successful candidate would possess these skills: • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to mentor and provide clear guidance to others The team Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value Qualifications Required: • Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience • 8+ years of experience in product sales, software engineering, technology architecture, or data engineering • 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment • 8+ years of experience leading technical teams, including onshore and offshore teams • 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments • Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve. • Limited immigration sponsorship may be available. Preferred: • Master's degree in a technical field • Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications. Recruiting for this role ends on 8/31/2026. Work you'll do As an AI Solutions Architect on the Insights, Innovation & Operate team, you will be responsible for... • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements • Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers • Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models • Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities • Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices A successful candidate would possess these skills: • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to mentor and provide clear guidance to others The team Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value Qualifications Required: • Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience • 8+ years of experience in product sales, software engineering, technology architecture, or data engineering • 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment • 8+ years of experience leading technical teams, including onshore and offshore teams • 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments • Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve. • Limited immigration sponsorship may be available. Preferred: • Master's degree in a technical field • Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Research Scientist – AI & Machine Learning Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are hiring Research Scientists passionate about advancing foundational AI methods for perception and reasoning. You will pursue original research in machine learning, multimodal integration, and explainable AI, working with collaborators from academia and national labs. Responsibilities • Formulate and conduct research in large-scale machine learning and spatiotemporal analytics. • Publish findings in top-tier conferences and journals. • Collaborate on grant proposals and cross-disciplinary R&D initiatives. • Supervise interns and junior researchers. Requirements • PhD in Computer Science, Mathematics, Physics, or related field. • Deep understanding of statistical learning, computer vision, or representation learning. • Ability to transition research concepts into implementable systems. Preferred • Experience with multimodal learning, uncertainty quantification, or causal inference. Join a team that values creativity and initiative. Our scientists and engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. Navigating healthcare is complex, and we are committed to delivering seamless, trustworthy AI solutions that empower members and operational teams. As Lead Product Manager, AI Ecosystem Partnerships & Vendor Strategy, you are the architect and operator of our company’s external AI partnership and vendor strategy—ensuring we harness the best of both internal innovation and external expertise to accelerate our AI agenda and deliver meaningful value. You own the sourcing, structuring, and management of strategic AI partnerships and vendor relationships, maximizing measurable value, interoperability, and compliance from every engagement. You lead the full lifecycle of partnership execution: from market scans and RFI/RFPs, through contract negotiation and integration planning, to ongoing performance management and benefit realization. Your stewardship of the vendor ecosystem ensures our company’s AI platform is resilient, future-ready, and that capital is concentrated on the most accretive solutions. In a rapidly evolving AI landscape, you are the force behind our company’s ability to scale quickly and adapt intelligently. You identify when to build, buy, or partner—balancing speed, cost, and strategic differentiation. By leveraging external partnerships, you help our company tap into specialized talent, advanced platforms, and innovation at scale—enabling us to move faster and smarter than the competition. You also drive the decommissioning of duplicative technologies, ensuring our investments are focused, and our platform remains streamlined and sustainable. Your role is pivotal in ensuring that every partnership is not only operationally sound but also strategically aligned with our company’s mission to improve member outcomes and operational efficiency. You proactively monitor the vendor landscape, anticipate market shifts, and ensure that our company’s AI investments are future-proof and resilient to disruption. You are a champion for responsible AI, embedding privacy, security, and compliance into every partnership and integration. Collaboration is at the heart of your impact. You work closely with Product, Engineering, Legal, Compliance, and Security to operationalize partnerships, ensure seamless integration, and uphold the highest standards for responsible AI, privacy, and resilience. You support evidence-based prioritization and investment decisions, ensuring every partnership and technology choice is grounded in a measurable impact for our members and the enterprise. By orchestrating the right mix of internal and external capabilities, you help our company stay ahead of industry disruption, accelerate time-to-value, and empower teams to deliver intelligent, personalized care experiences that set us apart in the market. Your leadership ensures that our company’s AI ecosystem is not only innovative, but also sustainable, scalable, and focused on delivering real value for our members and operational teams. You’ll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: • Build and maintain a segmented AI vendor landscape (foundational models, orchestration, safety/guardrails, personalization, analytics, contact center tech) with clear capability, risk, and fit assessments • Lead RFI/RFP processes, commercial and technical due diligence, and contract negotiations; ensure data protection, security, SLA/OLA, and interoperability obligations are explicit • Operate the buy/partner/build framework; set decision criteria (time-to-value, TCO, interoperability, substitution risk, talent velocity) and document trade-offs • Establish joint roadmaps and governance with strategic partners; align delivery plans, compliance checkpoints, and co innovation opportunities • Partner with Product and Engineering to design integration patterns (APIs, SDKs, eventing) and reusability standards; drive decommission savings by rationalizing vendor footprints • Publish benefit realization and vendor performance dashboards (NPS/EXI lift, call containment, AHT reduction, uptime, latency, defect rates) • Maintain executive-ready narratives that simplify complex partnership choices and risks; brief senior stakeholders on options and implications Measures of Success: • Time-to-value and ROI of partner solutions; realized decommission savings and footprint rationalization • Uptime/latency SLAs met; reduction in integration defects an

We are seeking a Product Manager to lead strategic AI platform initiatives across infrastructure, silicon, and developer experience. You will define product vision and execution across AI observability, profiling, agentic automation, and AI-native developer workflows. Partnering closely with engineering, architecture, and platform teams, you will deliver AI-powered capabilities that improve how large-scale systems are built and operated across the organization. This is a high-visibility, high-ambiguity role requiring strong product judgment, systems thinking, and the ability to drive clarity and alignment across complex cross-functional initiatives. Hardware Infrastructure serves as the foundational platform for silicon development. We build and operate the systems, environments, and tools that enable hardware engineers to design, simulate, validate, and tape out chips. In addition, we support software teams specifically through our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon, while ensuring seamless collaboration where hardware and software development intersect. What You'll Be Doing • Define product strategy and execution across a portfolio of AI platform initiatives, translating ambiguous technical challenges into clear problem statements, product direction, and prioritized roadmaps. • Develop deep empathy for internal developers and engineering teams through direct engagement, turning user challenges into intuitive, high-impact platform capabilities. • Drive roadmap planning across short- and long-term horizons, balancing customer impact, technical feasibility, scalability, and strategic business priorities. • Identify and evaluate high-value opportunities for AI-powered tooling, agentic automation, and developer productivity improvements, with a strong focus on measurable adoption and operational impact. • Establish product success metrics and use data-driven insights to continuously refine prioritization, feature scope, and user experience. • Champion developer experience and UX quality by understanding real engineering workflows, trust dynamics in AI-assisted tooling, and the factors that drive sustained platform adoption. • Communicate product strategy, trade-offs, and execution plans clearly across technical and executive audiences, influencing decisions at all levels of the organization. • Lead cross-functional collaboration across engineering, infrastructure, architecture, and design teams, driving alignment and execution in a highly matrixed environment. What We Need To See • BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience. • 12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale. • Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences. • Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance. • Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations. • Proven experience in fostering adoption of complex developer-facing products across large organizations. • Deep familiarity with modern SDLC tooling and developer workflows across build, test, deployment, and runtime environments. • Outstanding systems thinking with capacity to reason across the stack - from hardware and infrastructure layers through APIs, platforms, and end-user developer experiences. • Excellent written and verbal communication; able to distill ambiguous technical problems into clear product narratives. Ways To Stand Out From The Crowd • Background in semiconductor, hardware, or systems software companies. • Experience driving enterprise quality AI product adoption - defining UX, measuring engagement, and working with internal champions. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology! Your base salary will be determined based on your location, experience, and the

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Reston, VA, USA.Minimum qualifications: • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree. • Experience working on a consumer facing product or quality evaluations. • Experience with experimental design and analysis, survey design, evaluation methodologies, statistical modeling and machine learning algorithms. • Ability to convey complex information clearly and concisely, both verbally and in writing. • Ability to apply quantitative models to real-world business problems. • Ability to learn new skills and adapt to changing environments, including track record of self-directed learning and knowledge application. About The Job If you’d like to stay at the epicenter at Google Search and pioneer the next era of our search products, you’ve come to the right team. As a data science team that supports Core Ranking and AI Context Engineering (CRAFT), we are the foundation for all of Google’s key products - Search, AI Overview, and AI Mode. Working alongside engineers and product managers, we work on the most complex challenges, push the boundaries of Web and AI quality, and architect novel ways for billions of users to experience Google’s capabilities on a daily basis. This is your chance to define our Search products for Google. The mission of the CRAFT team is to drive measurements, insights, and impel actions with our partners across Core Ranking and AI Context Engineering in Search to elevate Google's Search Engine Results Page (SRP) and AI Mode and AI Overviews (AIX) products. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities • Work closely with engineers and product managers to identify quality and metric headrooms. • Conduct rigorous analyses of large-scale datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to stakeholders. • Develop evals and measurements to guide hillclimbing and iterative improvements. Automate such evals and measurements in collaboration with engineering and product. • Be an integrated partner to impel system changes and launches. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

SOC LLC is seeking a Remote Senior Data Scientist to drive economic analysis through advanced statistics and data science techniques. The ideal candidate holds a Master's degree or PhD in a quantitative field and has 5-8+ years of experience. Duties include scoping questions with stakeholders, creating data management strategies, and building reproducible data pipelines. Essential skills include proficiency in Python or R, machine learning expertise, and excellent communication abilities. The position offers a competitive salary range, with an estimated minimum rate of $51.60 and a maximum of $73.71.

Position Description Minimum Education Bachelor's degree or equivalent experience Minimum Experience 6 Summary Leads statistical and mathematical initiatives to predict future outcomes through the application of machine learning, natural language processing, and conceptual modeling. Uses existing, and makes improvements to, algorithms to test hypotheses through careful and deliberate model design. Leads statistical analysis, modeling, and simulation that leads to actionable decisions. Applies statistical methods to characterize uncertainty using large, complex datasets. Deploys data mining techniques to refine models that optimize decisions and improve scalable and reusable data mining solutions and capabilities that support Division strategic objectives. Leads methods for transforming data into actionable information. Duties And Responsibilities • Lead the development of analytic projects and predictive modeling using data mining techniques (e.g. classification trees, bagging, random forests, boosting, cluster analysis, factor analysis, shrinkage methods). • Lead the design and optimization of algorithms for matching and pattern recognition using advanced approaches (e.g. locality-sensitive hashing, fuzzy logic). • Lead large-scale analytical research projects through all stages; this includes concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report. • Design, build, and leverage large and complex data sets while thinking strategically about uses of data, and how data usage interacts with data design. • Lead the transformation of large-scale datasets from internal and external systems in a manner suitable for analysis. • Lead large-scale data studies and data discovery initiatives targeting for new data sources or new uses of existing data sources. • Lead design and implementation of data quality tests and implements new methods to improve statistical inferences of variables across models. • Visualize and report data findings using a variety of formats to enhance insights into complex issues. Communicates findings through internal reports, executive summaries, and formal presentations. • Establish links across data sources and map intricate interrelationships. • Compile, review, and assess information from academic journals, market sources, and other reports to maintain state-of-the-art knowledge in data analysis techniques. Position Requirements • U.S. CITIZENSHIP REQUIRED* FR-27 Minimum Qualifications Requires a bachelor's degree or equivalent experience plus six years of experience. Must demonstrate knowledge of competence in the application of advanced theoretical and quantitative techniques in Data Science, Statistics, Mathematics, Computer Science, or other quantitative discipline. Experience with analytical and statistical software packages such as R, MATLAB, or SAS. Experience with programming languages such as Python, Java, or SQL preferred. Extensive experience with large datasets. Passionate about data maintenance and data quality control. Excellent analytical and problem solving skills with attention to detail and data accuracy. Strong interpersonal, communication (verbal and written), relationship management, and customer service skills with a focus on working effectively in a team environment. Work cross-functionally to solve complex problems and improve quality and service. Manage multiple projects and work processes in a timely fashion. Perform involved and independent research and analysis. Ability to maintain confidentiality and appropriately handle sensitive information. FR-28 Minimum Qualifications Requires a bachelor's degree or equivalent experience plus eight years of experience. Extensive experience with analytical and statistical software packages (R, MATLAB, or SAS). Extensive experience with programming languages (Python, Java, or SQL). Lead cross-functional teams to solve highly complex problems and improve quality and service. Manage multiple, highly visible projects and work processes in a timely fashion. Lead involved and independent research and analysis. Remarks The AI Program Senior/Lead Data Scientist serves as a critical bridge between R&D innovation and business impact, coordinating with both technical and business teams to solve the organization's most complex challenges using cutting-edge AI. You will transform individual pilots into scalable capabilities. Your work will directly support the organization's research and policy mission while also advancing enterprise AI capabilities. Success requires deep AI expertise, strong analytical rigor, and the ability to coordinate efforts across the organization, ensuring R&D innovations translate into measurable business value. The ideal candidate will possess and demonstrate the following desired qualifications: • Demonstrated knowledge and competence in artificial intelligence technologies and data scienceExpert-level experi

Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup. About the Role At Promise, we’re harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you’ll experiment with and apply cutting-edge AI—from traditional ML models to the latest LLMs—to power applications that help families access essential services with dignity. You’ll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You’ll Do • Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. • Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. • Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. • Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. • Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed • Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. • Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). • Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. • Mindset: Detail-oriented, rigorous, and adaptable—comfortable navigating a high-impact, evolving environment. • Mission alignment: Passion for Promise’s work and a commitment to building ethical, transparent AI solutions. • Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You’ll love it here if: • You are energized by big, complex challenges and the opportunity to solve them. • You want your work to have a real, measurable impact on people’s lives. • You take ownership and run toward problems, not away from them. • You value clear, candid, and constructive communication. Promise is not for you if: • You prefer hierarchy and rigid structures. We operate with freedom and responsibility. • You are uncomfortable with change. We move fast, adapt often, and expect agility. • You want a typical corporate culture. We are mission-driven, ambitious, and direct. • You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People • 100% paid health coverage • Generous PTO and sick leave • Lunch, snacks, and coffee provided • Company retreats • Opportunities to travel and see the impact of your work • Hybrid Work: We deeply value in-person collaboration and are in-office or on-site at least four days a week. Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. To request a reasonable accommodation, please email accommodations@joinpromise.com. Promise engages in US government contracts and r

**Overview** We are looking for seasoned **Data Scientist** **(Generative)** to work with our existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases. ?We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. **Contributions** **Contributions include:** + Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models. + Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production. + Stay updated with the latest research and trends in AI to implement cutting-edge solutions. + Evaluate the performance of foundational models (e.g., GPT, LLaMA, Claude) on domain-specific tasks and fine-tune them using supervised, reinforcement, or instruction tuning methods to align outputs with user needs and business goals. + Design and optimize prompts, few-shot examples, and system instructions to improve LLM behavior in constrained environments (e.g., RAG pipelines, multi-agent workflows, decision support systems). + Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). + Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and human evaluations. + Ability to leverage and integrate various data management tools at scale - cloud experience preferred + Support an Agile software development lifecycle + You will contribute to the growth of our AI & Data Exploitation Practice! **Qualifications** **Qualifications include:** + Ability to hold a position of public trust with the US government. + Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline + 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. + Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects + Must be proficient in Python, with strong coding practices for scalability and reproducibility. + Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures. + Demonstrated experience manipulating structured and unstructured data for analysis + Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. + Ability to implement and modify complex neural network architectures. + Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn. + Experience with model training, fine-tuning, and evaluation using frameworks like PyTorch or TensorFlow. + Deep knowledge of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and prompt engineering. + Hands-on experience with large language models (e.g., GPT, LLaMA, Claude, Mistral) and associated libraries (e.g., Hugging Face Transformers). + Familiar with retrieval-augmented generation (RAG), data labeling, synthetic data generation, and data governance best practices. + Proficiency in Python and ML tooling (e.g., Jupyter, Git, Docker, APIs). Able to work in cross-functional teams to deliver AI capabilities into production environments, and write modular/reusable code. + Experience in Cloud analytics (AWS, Azure, or Google Cloud Platform - GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure OpenAI, etc. + Experience with DevSecOps, as it applies to data science and MLOps + Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar are a plus + Experience with Elasticsearch, AWS Kendra, Azure Cognitive Search, or similar tool is a plus **About** **steampunk** Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. **Identity Statement** As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a **Change Agent** in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our **Human-Centered

Opportunity Overview Northramp is seeking a Data Scientist to join the team supporting client's Cloud BPA Bridge program — a mission-critical effort to consolidate, modernize, and operate client's enterprise cloud services across IaaS, PaaS, and SaaS environments under FedRAMP High authorization. You will develop analytical models, business intelligence solutions, and AI/ML capabilities that help client derive actionable insight from its enterprise data. The role spans statistical analysis, machine learning, and data visualization — with Looker as the primary BI delivery platform — in support of program operations, resource planning, and mission-critical decision-making. This role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs. Location & Work Arrangement Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC region. The Ideal Candidate You turn data into decisions that program managers and agency leaders actually act on. You know when to reach for a simple statistical model and when the complexity of ML is actually warranted, and you’ve delivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technical stakeholders and you operate with rigor around data quality and reproducibility. Key Responsibilities Design, develop, and maintain LookML data models, Looks, and Looker dashboards that deliver actionable business intelligence to client program stakeholders and leadership. Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing use cases using Python (scikit-learn, TensorFlow, or PyTorch) and cloud AI/ML services (Vertex AI, SageMaker, or Azure ML). Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insights in client operational and program data. Develop and maintain feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery. Partner with Data Engineers to define data requirements, validate pipeline outputs, and ensure analytical datasets meet quality and completeness standards. Collaborate with program leadership and client government stakeholders to translate mission requirements into analytical problem definitions and measurable KPIs. Implement responsible AI practices — model explainability, bias assessment, and documentation standards — consistent with federal AI governance frameworks. Build and maintain automated reporting and alerting workflows that surface operational metrics and anomalies to the right stakeholders at the right time. Document data science methodologies, model assumptions, validation results, and performance metrics to support ATO and audit requirements. Mentor junior analysts and support adoption of data-driven practices across the delivery team. Requirements Required Qualifications 3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience. Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. Proficiency in Python for data science (pandas, NumPy, scikit-learn, statsmodels) and SQL for data extraction and analysis. Hands-on experience with Looker — LookML modeling, dashboard development, and content management. Experience training, validating, and deploying machine learning models in cloud environments (Vertex AI, SageMaker, or Azure ML). Strong grounding in statistical methods: regression, classification, time series analysis, and A/B testing. Working knowledge of BigQuery or equivalent cloud data warehouses for large-scale analytical workloads. Experience with data visualization best practices and BI tooling beyond Looker (e.g., Tableau, Power BI, or Google Looker Studio). Familiarity with MLOps principles: model versioning, experiment tracking (MLflow or Vertex AI Experiments), and deployment pipelines. Understanding of federal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements. U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance. Desired Qualifications Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification. Looker certification or demonstrated advanced LookML experience. Security+ or equivalent certification. Experience with NLP, computer vision, or generative AI application development. Federal data science or analytics program experience. Active Public Trust or higher clearance. Clearance DHS suitabi

Description Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our national security. Are you excited to help Government customers to leverage generative AI in their missions? Eager to learn from many different enterprise use cases of AWS ML and generative AI? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? Come join us! At Amazon Web Services (AWS), we are helping the national security community build and use AI on the AWS Cloud. We are AI to large volumes of data and against a wide spectrum of problems. Generative AI is rapidly growing in importance. We’re seeing more and more amazing AI work being done from simple back office applications to complex mission changing agentic workflows. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We’re looking for someone passionate and deeply excited about this space. Someone who is devoted to helping government customers understand how AI can make a big difference to their mission. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers. As part of the Specialist Solutions Architecture team, you will work closely with the other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for AI platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS AI solutions into customer architectures. You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong statistics, mathematics, computer science, or technology background is preferred, in addition to experience helping customers architect enterprise grade AI solutions. You will be familiar with the ecosystem of software vendors in the AI space as well as be able to operate in Python data science environments. You must have the ability to leverage this knowledge to help AWS customers in their software selection process. Candidates must have great communication skills and be very technical, with the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation. If you are someone who enjoys innovating, likes solving hard problems and working with innovative technology, we would love to have you on the team. About The Team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at h

Volkswagen Financial Services, a wholly-owned subsidiary of Volkswagen Group, is the trusted key to mobility for its brand partners. We are committed to supporting the Audi, Ducati, and Volkswagen brands and their Dealers, specializing in providing accessible mobility solutions for its Customers. The company’s offerings include Retail Leasing, Retail Financing, Commercial Financing for new and used vehicles, and End-of-Term vehicle disposition. Brief Role Description This position is Career Level 29P and located in Reston, VA, with a Role Classification of Hybrid. Role Summary The AI Product Manager will support the delivery of specific AI-enabled products that align with the established AI product roadmap. This role will drive adoption and usability of AI solutions across business teams and serve as the delivery lead for a defined set of priority AI initiatives, partnering closely with the AI CoE leadership to execute product delivery, obtain stakeholder alignment, and deliver measurable business outcomes. The role will be focused on connecting brand, vehicle, customer and dealer data to support the Sales, Marketing, Risk, Collections, Finance, Controlling and other business units to define, innovate, and deploy AI-enabled products. The role will collaborate with Data Science, ML Ops, Data Engineering, and IT Ops and as well as other product teams to roll out AI solutions at an enterprise scale. To be effective in this position it will be critical to have deep expertise in data, analytics, and AI solutions as well as exceptional communication skills, and influence capabilities. Responsibilities within this Role AI product roadmap planning and execution (30%) • AI product execution and delivery (50%) • AI product rollout and adoption (20%) Responsibilities will include: • Act as the day-to day execution lead for prioritized AI products, accountable for end-to-end delivery, cross-functional execution, and ultimate product success against defined business objectives • Assist in the definition, design and delivery of AI solutions working with product owners, and BU SME’s • Directly work with key Business Stakeholder to investigate, identify, collaborate, and ensure the delivery of data solutions for business units and customers. • Document and enter Epics, Features and stories in Jira, managing backlog prioritization and acceptance criteria for assigned AI products • Collaborate with data engineering and Data Science to implement robust and scalable MLOps pipelines • Collect and analyze data to determine product direction and work with BU product owners/ SME’s to identify potential solutions, which informs the product roadmap • Coordinate and participate in user acceptance testing of functional requirements. • Collaborate with other Product Owners to ensure programs and processes across the entire system are aligned and prioritized • Create product training and documentation materials in support of the implementation and launch of AI Products. • Identify and propose pragmatic innovations that improve product outcomes and delivery efficiency • Support communication, presentations, training, and documentation to enable successful user adoption Qualification requirements Years of Revlevant Experience: 10+ years of hands-on experience delivering data‑driven and AI‑enabled products with a demonstrated ability of translating business challenges into clear, actionable product requirements and delivery plans. 4+ years in product management/ownership building and delivering successful AI/ML products and capabilities 4+ years of experience working with Data Scientists to deliver AI solutions Required Education: Bachelor’s degree in business, Marketing, Computer Science, or Engineering Desired Education: Master’s degree in Entrepreneurship, Business, Marketing, Computer Science, or Engineering General Skills: Deep understanding of business rollout and product delivery of scaled Data Science and AI solutions Passion for identifying and solving real consumer and business problems, and proven ability to deliver to market A bias to action and a proven track record of delivering solutions within a matrixed organization Ability to analyze and explain complex business processes and technical solutions Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate others to lead cross-functional teams Ability to work effectively with direct teams and matrixed partner teams as well as collaboration across brands and organizational business units. A fantastic storyteller who is at ease presenting to senior leadership Skills Required: Proven experience managing Data Science, Analytical and AI products from concept through Delivery Proficient in SQL to efficiently query large datasets. Expertise on the capabilities and functionality of data, business processes, and integration technologies Excellent communicator and can articulate product vision, roadmap execution, and delivery progress wit

Senior Product Manager – Conversational AI Servicing Quality Assurance Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. We are seeking a tech-forward Indepedent Contributor Senior Product Manager to lead the onboarding and assessment strategy for evaluating conversational AI solutions on our enterprise quality platform. You will sit at the cutting edge of GenAI servicing as we scale automated validation across customer interactions. What You'll Do • Drive Conversational AI Integration: Own the end-to-end platform integration and roadmap execution required to successfully onboard conversational AI solutions onto our enterprise quality assurance platform. • Pioneer AI QA & Feedback Loops: Support the development of advanced "AI QA on AI" capabilities. You will help establish automated assessment parameters and closed-loop feedback systems that empower conversational AI to continuously learn and self-correct. • Scale Automated Assessments: Design the systems that allow our automated QA platform to keep pace with rapid coverage expansion. You will ensure our quality assurance checks remain highly consistent, accurate, and scalable as we expand evaluation across a vast library of complex customer intents and tasks. Who You Are • An Experienced Product Leader: You have successfully shipped complex data platforms or cloud-scale conversational applications, and possess a strong foundational knowledge of—or a deep passion for—LLM evaluation pipelines. • A Strategic Systems-Thinker: You comfortably orchestrate alignment, manage complex technical dependencies, and effectively navigate the unique challenges of working across high-velocity, cross-functional platform and business teams. Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: • Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions • Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence • Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value • Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks • Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: • At least 5 years of experience working in Product Management • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: • Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management Richmond, VA: $182,500 - $208,300 for Sr. Mgr, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non di

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning toprovideleap-ahead mission capabilities, we • build real-world, mission-scale AI capabilities through solving practical engineering problems • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities • prepare our customers to be ready for the unique challenges of adopting, deploying, using, andmaintainingAI capabilities • identifyand investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview:As a Senior Machine LearningResearch Scientist,you will specialize inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities. TheSecure AILab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, theSecure AILabconducts and appliescutting-edgeresearch toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisn’tsupposed to. TheSecure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: • Counter AI Research:Study threat models targeting AIandML algorithms,understand the behaviors of AI algorithms,identifyweak points, and design novel ways to subvert AIandML systems. • AIandMLAlgorithm DefenseResearch:Createpractical mitigations and defenses forobservedattacksaffecting AIandML algorithmsand evaluate the effectiveness ofdefensivetechniques. • AppliedAdversarial Machine Learning:Advance the state of the art inadversarialmachinelearningby developing and transitioning capabilities to government sponsors. Your day-to-day research tasks will include: • Identifyingandinvestigatingemerging AI and AI-adjacent technologies. • Performing andpublishingimpactful original research in the field ofAIandML algorithm vulnerabilities and securing against those vulnerabilities. • Adapting andapplyingexisting research in the field to solve real-world problems. • Transitioning andprovidingguidanceonAI capabilities to government sponsors. Duties:  • Hands-on research: You’llconduct and lead novel research in applied machine learning and artificial intelligence. • Solution development:You’llwork with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders. • Strategy:You’llwork withthe leadership teamand colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agendaregardingfuture technology. • Collaboration:You'llactivelyparticipateon teams of software developers, researchers, designers, and technical leads.You'llbuild relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs,possible solutions, and research directions. • Mentoring:You'llcontribute to improving the overall technical capabilities of the Divisionby mentoring and teaching others,participatingin design (software and otherwise) sessions, and sharing insights and wisdom across the SEIAIDivision. Knowledge andExperience • Comprehensiveknowledge ofmachine learning;previousexperiencein adversarial machine learningpreferredbut notrequired • A track recordofconducting research and applying scientific methodsto solvedifficult problems • Experienceleadingresearchprojectsinnovelareaswith limitedpreviouswork to build upon • Abilityto work with leadership to plan, develop, anddeliveran overallresearchstrategy • Strong written and verbal communication skills;abilityto convey complex technical ideasinalayperson’s terms • Proficiencyinwritingfunding proposalsorpitchingideas fornew researchprojects • Ampleexperience with publishingwritten or technicalartifactsshowcasingyour work • Strong collaboration skills forworkingwith colleagues and sponsors • Willingnesstoguide andmentorjunior team members Requirements • A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience • Willingness to work onsite at an SEI

Description Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Key job responsibilities What You’ll Do As a GHS Research Scientist Design large-scale personnel selection research that shapes Amazon’s global talent assessment practices across a variety of topics (e.g., assessment validation, measuring post-hire impact) Partner with key stakeholders to create innovative solutions that blend scientific rigor with real-world business impact while navigating complex legal and professional standards Apply advanced statistical techniques to analyze massive, diverse datasets to uncover insights that optimize our candidate evaluation processes and drive hiring excellence Explore emerging technologies and innovative methodologies to enhance talent measurement while maintaining Amazon's commitment to scientific integrity Translate complex research findings into compelling, actionable strategies that influence senior leader/business decisions and shape Amazon's talent acquisition roadmap Write impactful documents that distill intricate scientific concepts into clear, persuasive communications for diverse audiences, from data scientists to business leaders Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities A day in the life Imagine diving into challenges that impact millions of employees across Amazon's global operations. As a GHS Research Scientist, you'll tackle questions about hiring and organizational effectiveness on a global scale. Your day might begin with analyzing datasets to inform how we attract and select world-class talent. Throughout the day, you'll collaborate with peers in our research community, discussing different research methodologies and sharing innovative approaches to solving unique personnel challenges. This role offers a blend of focused analytical time and interacting with stakeholders across the globe. Basic Qualifications • PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products • Experience in applied selection research, job analysis, test development, and validation • Foundational skills in conducting experimental research studies and data analysis • Proficiency in scripting for data analysis (e.g., R, Python) Preferred Qualifications • Experience influencing internal and external stakeholders • PhD in Industrial/Organizational Psychology or related field • Familiarity with using GenAI tools and Large Language Models (LLMs) in personnel selection research • Experience developing and maintaining global hiring assessments • Experience conducting experimental research in an industry environment • Excellent written and oral communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option

Responsibilities Noblis is seeking an experienced Artificial Intelligence and Machine Learning Systems Research Scientist for a role based in Reston, VA who lives at the intersection of machine learning research, scientific computing and capability development to join our team of technical professionals delivering transformational capabilities to our clients. This role blends original research with real-world collaboration across scientific domains. Responsibilities Include Research and Development • Design and implement machine learning methods, particularly evolutionary computation, symbolic regression, and active learning, to accelerate scientific discovery across multiple domains. • Develop computational tools that make complex modeling more accessible, interpretable, and efficient. • Pursue research in AI/ML and GenAI model generalization, training efficiency, explainability, and stability. • Collaborate with domain scientists (physics, biology, medical imaging, and others) to apply ML techniques to real problems. • Contribute to open-source software projects and publish in peer-reviewed venues. Applied Engineering • Build and maintain high-performance computing workflows, including parallel and distributed architectures. • Develop reinforcement learning and agent-based systems for hypothesis testing and causal discovery. • Contribute to client-facing data science platforms and tools. • Write and support government-funded research proposals. Required Qualifications • US Citizenship is required. • Master's degree with 6+ years of relevant years of experience OR Ph.D. with 4+ years of relevant years of experience. • Degree must be in computational science, computer science, applied mathematics, or a related field. • Demonstrated research record in evolutionary computation, genetic programming, or related ML areas (publications, conference presentations, etc.). • Strong programming skills in Python, C#, C/C++. Knowledge of Rust and Fortran would be a plus. • Experience with HP computing, including GPU programming in CUDA. Understanding HP computing paradigms. • Ability to work across disciplines, comfortable translating between domain science and computation. Desired Qualifications • Ability to achieve Secret security clearance • Experience with active learning, symbolic modeling, or ensemble methods. • Familiarity with computer vision, time-series modeling, or reinforcement learning applications. • History of securing external research funding (government grants, SBIR, etc.). • Contributions to open-source ML or scientific computing projects. • Experience mentoring junior researchers or graduate students. • Background in scientific communication and public speaking. Overview Overview Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions. We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org Why Work at Noblis At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer. Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace. Remote/hybrid status is subject to change based on Noblis and/or government requirements. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us . EEO is the Law | E-Verify | Right to Work Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional d

AI Software Engineer The Opportunity: or providing AI expertise, our clients need someone who combines deep technical understanding of software engineering with strong architectural judgment. is why we need you, an experienced AI Software Engineer who can operate at a system-of-systems level to support clients in advancing AI-enabled systems As part of our team, you'll serve as a strategic technical expert for the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government-funded research serve as an AI Software Development Engineer advising program leadership and supporting software engineering to support the client mission. clients in ensuring that program-wide technical architecture and engineering to rigorous AI development, evaluation, and long-term impact. On: Design and maintain core agentic systems, including reasoning, planning, communication patterns at the application layer so that agents can collaborate production Build and evolve application‑layer infrastructure such as capabilities, including prompt design, retrieval quality, grounding, and pipelines that are cost-efficient and have awareness of token economics without sacrificing quality Translate product requirements into clear technical designs and ship end‑to‑end features quickly and reliability. engineering excellence by writing high‑quality code, mentoring teammates, and You Have: 7+ years of experience with software engineering, including building and operating production systems Experience in high-velocity environments, including owning and shipping complex products end-to-end Experience with Python and at least one other backend language such as Java, Go, or Rust Experience in big tech building customer-facing AI platforms or developer tools at scale Experience building and operating systems on major cloud platforms such as AWS, GCP, or Azure Experience with containerization and working within CI/CD pipelines Experience in prompt engineering and LLM behavior backend frameworks and async patterns, algorithms, data structures, APIs, and software design patterns Bachelor's in Computer Science or Software Engineering validation, output sanitization, audit logging, and responsible AI guardrails building Experience with MCP at the client or consumer layer, including how within a fast-paced environment Master’s degree in a relevant field include health, life, disability, financial, and retirement benefits, as well as exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are visiting the Resource page on our Careers site and reviewing Our Employee contract-specific affordability and organizational requirements. The projected intelligence to ensure authenticity and protect against identity fraud. to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Allen facility frequently, in alignment with leadership expectations and the You may also be required to work from or visit a customer facility. performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Note: Microsoft Internet Explorer is not fully compatible with Workday and users may experience systems issues with this browser. Google Chrome, Mozilla Firefox, Microsoft Edge, Apple Safari, Opera Browser or Hamilton Booz Allen is an advanced technology company delivering outcomes with We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. an individual with a disability and would like to request a reasonable workplace Allen Help Desk by calling 1-877-927-8278 or sending an email to helpdesk@bah.com. Data Privacy For more information on how Booz Allen uses your information, please see our Careers Privacy Policy.

Job Number: R0241100 Agentic AI Engineer The Opportunity: As an experience d engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models ( LLMs ) , and autonomous workflows. This role combines deep technical expertise with strong product skills to design AI applications that leverage prompting, retrieval-augmented generation ( RAG ) , agentic orchestration, evaluation pipelines, and human-in-the-loop systems to deliver measurable impact. You will architect modular, reusable AI application patterns, integrate multiple model providers such as cloud-hosted, local, and hybrid , and apply modern GenAI stack capabilities, including structured prompting, tool use, workflow orchestration, and multi-modal reasoning. You will design solutions deployable across various contexts, from cloud-hosted platforms to portable, self-contained builds, optimizing for latency, cost efficiency, observability, and safety. You will rapidly prototype and iterate using AI-assisted development tools, validating hypotheses through evaluation-driven development and continuous experimentation. In this role, you'll define the direction of mission-critical agentic systems by selecting and combining prompting strategies, RAG architectures, agentic workflows, and fine-tuned or foundation models as appropriate. You'll be part of a large community of AI and ML engineers across the company, collaborating with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions. Join us. The world can't wait. You Have: • 1+ years of experience designing, developing, or deploying AI-driven systems, including autonomous agents, LLM-based systems, or automated decision pipelines • 1+ years of experience with an object-oriented programming language such as Python, and applying it to AI / ML solution development • Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent frameworks • Experience integrating LLMs, GPT-class models, or multimodal models into applications, pipelines, or mission systems • Experience with RAG architectures, evaluation met hodologies, experimentation workflows, and asynchronous or event-driven programming patterns • Experience working in cross-functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams, and creating reference architectures and technical roadmaps • Secret clearance • Bachelor's degree Nice If You Have: • Experience with agent frameworks, interoperability standards, and multi-agent patterns such as MCP, A2A, LangGraph, or equivalent • Experience with model fine-tuning, prompt tuning, domain adaptation, or reinforcement learning from human or AI feedback • Experience designing evaluation suites or safety testing frameworks for AI systems, and integrating AI systems with external tools, APIs, or enterprise systems via tool-calling or computer-use patterns Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and asse

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub. About the Role As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack. About You You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, we can't wait to see your application. What you'll need • Strong Python skills, with experience writing clean, well-tested, maintainable library code • Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus) • Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries • A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub • Solid understanding of modern machine learning and deep learning, including transformer architectures • Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord) • Fluent written English for asynchronous collaboration across a distributed, global community Nice to have • Experience maintaining an open-source project • Prior contributions to Transformers, Datasets, Accelerate, or similar libraries • Familiarity with distributed training, inference optimization, or GPU/accelerator performance work • Experience training or fine-tuning models at scale A note on fit If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact. How to apply At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we genuinely read every application, here's a small sign that you read this one too: start your cover letter with the words "GPU-poor and proud of it 🤗" so we know you read the full description. No trick, no catch, it just tells us a real person is on the other side. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential exper

Job Description: We are seeking a highly experienced Data & AI Solution Architect to lead enterprise-scale modern data architecture and AI-driven transformation initiatives. The ideal candidate will possess strong expertise in Lakehouse Architecture, Data Engineering, Artificial Intelligence/Generative AI, Data-as-a-Service (DaaS), and Enterprise Data Platforms. Key Responsibilities: • Design and operationalize scalable Lakehouse architectures using Bronze, Silver, and Gold data layers. • Build reusable Data-as-a-Service (DaaS) frameworks, APIs, and enterprise-grade data products. • Architect scalable ETL/ELT pipelines, streaming platforms, and event-driven data integration patterns across heterogeneous systems. • Lead implementation of Artificial Intelligence (AI) and Generative AI (GenAI) solutions for real-time analytics and enterprise business use cases. • Develop scalable data models, integration frameworks, and modern enterprise data architectures. • Partner with executive leadership and business stakeholders to solve complex, high-impact business problems with a strategic and operational mindset. • Enable real-time learning patterns, advanced analytics, and intelligent automation capabilities. • Ensure production readiness, scalability, reliability, and performance optimization of enterprise data platforms. • Integrate and operationalize data governance, cataloging, lineage, and metadata management using tools such as Collibra, Alation, and Informatica. • Design and support cloud-native architectures leveraging Google Cloud Platform (GCP), BigQuery, Cloud Storage, and modern scalable runtime environments. Required Skills: • Enterprise Data Architecture & Data Modeling • Lakehouse Architecture (Bronze/Silver/Gold layers) • ETL / ELT Development & Data Pipelines • Streaming & Event-Driven Architecture • Artificial Intelligence (AI) & Generative AI (GenAI) Solutions • Data-as-a-Service (DaaS) & API Architecture • Google Cloud Platform (GCP), BigQuery, Cloud Storage • Data Governance, Metadata Management & Data Cataloging • Scalable Integration Patterns & Real-Time Analytics • Production-Ready Engineering & Performance Optimization Preferred Qualifications: • Experience with enterprise-scale AI/GenAI implementations • Strong exposure to modern cloud-native data ecosystems • Expertise with Collibra, Alation, Informatica, or similar governance tools • Strong stakeholder management and executive communication skills • Ability to lead architecture strategy and hands-on technical implementation Experience Required: 10+ years of experience in Enterprise Data Architecture, Data Engineering, AI/GenAI Solutions, and Cloud Data Platforms.

Job Description: Job Title: Principal AI Solutions Architect Cloud & Enterprise AI Location: 95% Remote Occasional Onsite Meetings in Washington, D.C. Position Overview Patient-Centered Outcomes Research Institute is seeking a highly experienced Principal AI Solutions Architect to lead the design and implementation of secure, scalable, and enterprise-grade AI and cloud solutions supporting healthcare research, data modernization, and digital transformation initiatives. This role requires deep expertise in AWS cloud architecture, Generative AI ecosystems, enterprise systems integration, MLOps, AI governance, and cloud-native application design. The ideal candidate will serve as a strategic technical leader responsible for architecting AI-enabled platforms while ensuring security, compliance, governance, and operational excellence. The architect will collaborate closely with enterprise leadership, data engineering teams, cybersecurity, DevSecOps, and application development teams to drive innovation using modern AI technologies including LLMs, RAG architectures, MCP (Model Context Protocol), AI Guardrails, and enterprise AI orchestration frameworks. Key Responsibilities Design and implement enterprise-scale AWS cloud architectures supporting AI/ML and GenAI workloads. Architect Scalable, Resilient, And Secure Cloud-native Solutions Using: Microservices Containers APIs Event-driven architectures Serverless computing Lead Architecture And Integration Efforts For: Generative AI platforms LLM orchestration AI agents RAG pipelines Vector databases Knowledge graph integrations Design And Implement AI Governance Frameworks Including: Responsible AI AI Guardrails Model monitoring Risk management Compliance controls Implement and support MCP (Model Context Protocol) integrations and AI interoperability solutions. Architect Enterprise MLOps Pipelines For: Model training Validation Deployment Observability Lifecycle management Design Secure AI Solutions Leveraging AWS Services Such As: SageMaker Bedrock Lambda ECS/EKS API Gateway DynamoDB S3 IAM CloudWatch Collaborate With DevSecOps Teams To Implement: CI/CD pipelines Infrastructure as Code (Terraform/CloudFormation) Security automation Compliance scanning Develop architecture standards, governance models, and technical roadmaps. Provide technical leadership, mentoring, and architectural guidance across engineering teams. Evaluate emerging AI technologies and recommend enterprise adoption strategies. Support enterprise modernization initiatives aligned with healthcare and research data platforms. Required Qualifications 10+ years of experience in: Enterprise Architecture Cloud Engineering Systems Architecture Solution Architecture 5+ years of hands-on AWS cloud architecture experience. Strong Expertise In: AI/ML architecture Generative AI Large Language Models (LLMs) AI orchestration frameworks MLOps Experience With: MCP (Model Context Protocol) AI Guardrails Responsible AI frameworks Strong Experience Designing: Distributed systems Enterprise integrations Cloud-native platforms Expertise In: API architecture Event-driven systems Kubernetes Docker Serverless computing Experience With Infrastructure As Code: Terraform CloudFormation Strong DevSecOps and CI/CD implementation experience. Strong Understanding Of: Security architecture Governance Compliance Enterprise cloud controls Strong communication and stakeholder management skills. Preferred Qualifications: AWS Certified Solutions Architect Professional AWS AI/ML Specialty Certification Experience With: LangChain OpenAI APIs Bedrock Agents Vector databases Knowledge Graphs RAG architectures Experience Supporting Healthcare, Research, Nonprofit, Or Federal Organizations Preferred. Experience implementing enterprise AI governance and Responsible AI initiatives. Familiarity with healthcare data modernization and interoperability standards is a plus. Technical Skills: AWS Cloud Architecture Generative AI / GenAI LLM Integration MCP (Model Context Protocol) AI Guardrails Responsible AI MLOps Terraform / CloudFormation Kubernetes / Docker Python API Design DevSecOps CI/CD Pipelines Enterprise Systems Integration Data & AI Governance RAG Architectures Vector Databases Bedrock / SageMaker Work Environment 95% Remote Occasional onsite meetings in Washington, D.C. Collaborative enterprise architecture and innovation environment Opportunity to lead next-generation AI transformation initiatives

Our client is a cutting-edge research organization seeking a brilliant AI Research Scientist to contribute to groundbreaking advancements in artificial intelligence and emerging technologies. This role is based in our state-of-the-art facility in Baltimore, Maryland, US , and offers a unique opportunity to work on challenging problems at the forefront of AI research. The successful candidate will be involved in designing, developing, and evaluating novel AI algorithms and models, with a focus on areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. Responsibilities include conducting theoretical and empirical research, publishing findings in top-tier conferences and journals, collaborating with a team of world-class researchers and engineers, and translating research ideas into practical applications. You will also be expected to prototype AI systems, analyze large datasets, and contribute to the intellectual property portfolio of the company. A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is strongly preferred. Proven experience in conducting research and a strong publication record are essential. Proficiency in programming languages such as Python and experience with AI frameworks (e.g., TensorFlow, PyTorch) are required. Excellent problem-solving, analytical, and critical thinking skills are paramount. This is an on-site position, fostering a collaborative and innovative research environment. Join us to shape the future of artificial intelligence. Key Responsibilities: Conduct cutting-edge research in artificial intelligence and machine learning. Design, develop, and implement novel AI algorithms and models. Analyze large and complex datasets to extract meaningful insights. Prototype and test AI systems and applications. Publish research findings in leading academic journals and conferences. Collaborate with interdisciplinary teams of researchers and engineers. Stay abreast of the latest advancements in AI and related fields. Contribute to the development of intellectual property and patents. Mentor junior researchers and interns. Present research findings to technical and non-technical audiences.

Responsibilities Peraton Labs is seeking AI/ML Research Scientists to support the development of AI-enabled products and technical capabilities for the FAA BNATCS Program. You will work closely with Labs internal Agentic AI teams in support of the Program CTO to perform analysis, build software, develop prototypes, and contribute to mission-relevant solutions. Successful candidates will combine strong software engineering and AI/ML skills with curiosity, adaptability, and a collaborative mindset. Within this role you will help build the next generation of AI-enabled mission capabilities in a hands-on environment where strong ideas, adaptability, and engineering execution matter. This is an opportunity to work on meaningful problems alongside high-caliber teams developing real products. Key responsibilities may include: • Design, develop, test, and refine AI/ML-enabled applications and components supporting Digital Command Center objectives • Conduct analysis, experimentation, and coding in support of agentic AI workflows and technical products • Build software using Python and other languages as required by the mission and technical environment • Integrate LLMs and API-based AI services into usable tools and workflows • Collaborate with internal Labs teams to move ideas from prototype to practical capability • Contribute across the stack as needed, including data processing, backend logic, orchestration, and user-facing features • Evaluate emerging tools, frameworks, and technical approaches relevant to AI-enabled mission systems • Support a team culture grounded in learning agility, openness to feedback, and strong collaboration Qualifications Required Qualifications • Bachelor's degree with 5+ years of relevant experience, Master's with 3+ years, or PhD with demonstrable applied AI/ML experience • Strong software development experience with expertise in Python • Experience with one or more additional programming languages such as C, C++, or JavaScript • Demonstrated AI/ML experience through a record of professional work, research, prototypes, or delivered technical projects • Experience working with LLMs at the API level • Familiarity with agentic AI concepts, autonomous workflows, or intelligent orchestration patterns • Strong analytical problem-solving skills and ability to work in an evolving technical environment • US Citizenship with ability to obtain/maintain an FAA Public Trust suitability • Must be local to and able to commute to one of our on-site locations: Annapolis Junction, MD; Bowie, MD; or Herndon, VA Desired Qualifications • Experience with ML libraries and frameworks such as PyTorch or TensorFlow • Familiarity with Anthropic Model Context Protocol (MCP) • Experience with infrastructure/orchestration tooling such as Kubernetes and Terraform • Understanding of networking fundamentals and the OSI stack • Experience with full-stack development or end-user product development • Background in applied research, rapid prototyping, or mission-oriented software development Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer Location: Chantilly, Virginia Security Clearance: Active TS/SCI with Polygraph Required Job Type: Full-Time Position Overview The selected candidate will serve as a senior technical authority supporting the design, development, integration, and maintenance of advanced software, artificial intelligence, and machine learning solutions within a secure mission environment. This role requires extensive expertise in software engineering, systems analysis, cloud technologies, and AI/ML methodologies supporting complex operational and technical requirements. Minimum Qualifications • Bachelor’s degree and a minimum of sixteen (16) years of relevant experience; OR • Twenty-one (21) years of related professional experience in lieu of a degree • Minimum of sixteen (16) years of software engineering, artificial intelligence, or machine learning experience • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with Polygraph • Demonstrated experience leading complex technical and operational initiatives Duties and Responsibilities • Design, develop, test, and maintain enterprise software and AI/ML systems • Analyze software and system requirements to develop technical solutions supporting operational objectives • Evaluate and improve software performance, scalability, reliability, and maintainability • Develop system specifications, technical documentation, and implementation plans • Coordinate with engineers, analysts, developers, and stakeholders to support system integration and deployment • Modify and enhance existing software applications to improve functionality and resolve technical issues • Analyze interfaces between hardware and software systems and define performance requirements • Support installation, configuration, testing, and maintenance of software systems and applications • Develop and maintain applications within cloud-based environments, including modernization of legacy systems • Estimate software development schedules, technical risks, and resource requirements • Apply analytical, mathematical, and engineering methods to evaluate system performance and software outcomes • Lead AI and machine learning initiatives including model development, data analysis, automation, and predictive analytics • Provide technical leadership, mentoring, and guidance to engineering and development teams • Support troubleshooting, root cause analysis, and resolution of highly complex technical issues Required Knowledge, Skills, and Abilities • Expert knowledge of software engineering principles, artificial intelligence, machine learning, programming, and systems analysis • Experience developing applications in cloud and enterprise environments • Ability to analyze user requirements and translate them into scalable technical solutions • Experience with software testing, debugging, and performance optimization • Strong analytical, organizational, and problem-solving skills • Excellent written and verbal communication skills • Ability to lead technical teams and collaborate across multidisciplinary environments Preferred Technical Experience Experience or familiarity with one or more of the following technologies or tools is desirable: • Programming languages and software development frameworks • Web application development technologies including HTML, JavaScript, Apache Struts, and Ruby on Rails • Software testing, usability testing, and defect tracking tools including Mercury Interactive LoadRunner • Source code editors and software development environments • Desktop computing systems, high-end servers, and application server technologies About the Organization A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts. Benefits Summary Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include: • Flexible Time Off Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity. • Hybrid Work Environment Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs. • Retirement Savings Plan Retirement benefits may include participation in a 401(k) savings program with employer contributions. • Paid Parental Leave Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement. • Comprehensive Health Coverage Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs. • Professional Development and Continuing Education Oppor

DESCRIPTION AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us! At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning; as is Prime Air. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls. AWS is looking for a genAI/ML Solutions Architect who will be the Subject Matter Expert for helping customers in the United States design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. As part of the team, you will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage genAI on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward. You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building machine learning models. You will be familiar with the ecosystem of software vendors in the genAI space, and will leverage this knowledge to help AWS customers in their selection process. Travel up to 30% across the United States may be possible. Key job responsibilities Working with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Personalize, and the other AI/ML services. Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases. Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback. Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connect

Job Title: Staff Computer Vision AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: None Type of Travel: None Anticipated Posting End: 12/31/2026 The Opportunity: This position, in either Aurora, CO or King of Prussia, PA, is for a Staff Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations. Responsibilities: Our ideal candidate is an experienced professional who has researched and developed AI/ML-based computer vision algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains. This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. Additionally, they will work our technical and business strategy leadership team to help shape our growing AI/ML portfolio. As a CV AI/ML Engineer, your responsibilities include: Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing Analyzing and pre-processing large remote sensing datasets Researching supervised and unsupervised ATR solutions for remote sensing Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications Writing technical documentation supporting code, program capabilities and user-guides Qualifications: Required: B.S. in Data Science, AI/ML, Computer Science, or related field 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML model Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.) Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers Active TS/SCI U.S. Government Security Clearance Desired MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL) Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc. Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. Experience with version control processes and tools for code version control, data version control, and model version control Experience with Linux Experience with implementing tracking and fusion, and pattern-of-life algorithms Experience in application deployment, virtualization, and containerization Experience shaping and writing proposals Active TS/SCI U.S. Government Security Clearance with Polygraph - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we d

The Role The AI Product Manager is a pivotal connector between business strategy and intelligent product delivery—translating complex organisational needs into clear, prioritised requirements and driving coordinated execution across Product Owners and cross-functional teams. This role sits at the intersection of business analysis and AI enablement, accountable for requirements gathering, stakeholder alignment, and ensuring that every product initiative is well‑defined, technically feasible, and tied to measurable outcomes. Responsibilities • Business Requirements & Discovery • Leads requirements discovery across stakeholders through workshops, interviews, and process reviews. • Elicits, documents, and validates business needs, user needs, pain points, and desired outcomes; translates into clear problem statements and requirements. • Develops artifacts such as business requirement documents (BRDs), epics/features, use cases, user journeys, acceptance criteria, and process flows. • Ensures requirements reflect regulatory, legal, privacy, security, and operational considerations; engages the right SMEs early. • Analysis, Prioritization Support & Decision Enablement • Analyzes qualitative and quantitative inputs (client feedback, operational metrics, adoption/usage data, defect trends) to refine requirements and recommendations. • Supports the Product Leader with data‑backed insights, business cases, and trade‑off options (scope, timeline, cost, risk). • Helps assess value, impact, dependencies, and feasibility; proposes sequencing and release groupings for roadmap planning. • Coordination with Product Owner & Delivery Teams • Partners with Product Owners to convert business requirements into well‑groomed backlog items and sprint‑ready work. • Maintains continuous alignment between stakeholders and the delivery team; manages requirement clarifications, changes, and approvals. • Participates in agile ceremonies as needed (backlog refinement, sprint planning, demos, retros) to ensure intent and acceptance criteria are understood. • Coordinates UAT readiness and execution with business stakeholders; confirms delivered functionality meets defined requirements. • Stakeholder Management & Communication • Serves as a primary point of contact for product leaders and other relevant stakeholders on in‑flight requirements and upcoming deliverables. • Creates and maintains clear communication materials (requirements traceability, release notes inputs, decision logs, status updates). • Proactively surfaces risks, gaps, and cross‑team dependencies; drives timely resolution. • Quality, Adoption & Continuous Improvement • Defines and tracks requirement‑level success measures (e.g., process efficiency gains, reduced call drivers, improved completion rates, error reduction). • Gathers post‑release feedback, triages issues/enhancements, and feeds learnings back into the backlog. • Champions usability, data quality, and operational fit—ensuring solutions are intuitive, trusted, and supportable. • AI & Data Product Management • Leads feasibility framing for AI‑enabled features: assesses data availability, model complexity, and ROI before requirements are finalised. • Translates business problems into clear data and modelling needs; defines what "good" looks like for model outputs in terms of accuracy, fairness, and explainability. • Defines AI‑specific success metrics alongside business metrics—including model performance indicators (precision/recall, lift, false‑positive rates, latency) and outcome metrics tied to revenue or retention. • Works closely with data scientists, ML engineers, and designers to align on experimentation approaches. • Oversees post‑launch monitoring requirements: defines thresholds for model drift, bias, and performance decay; ensures feedback loops are built into the product. • Applies AI ethics and governance principles and ensures privacy and compliance obligations are embedded into requirements—particularly in regulated HWC contexts. • Communicates AI trade‑offs clearly to non‑technical stakeholders; bridges the gap between technical teams and business decision‑makers. • Leads enterprise‑scale GenAI roadmap planning, including prioritisation of knowledge management, conversational AI, document intelligence, and analytics use cases in alignment with organisational strategy and executive stakeholders. • Embeds responsible AI lifecycle management into product requirements, including governance frameworks, bias and fairness reviews, and iterative oversight mechanisms throughout model deployment. • Scopes and drives R&D initiatives for emerging AI patterns such as Retrieval‑Augmented Generation (RAG) and autonomous AI Agents, translating innovation lab findings into scalable product capabilities. • Success Metrics • Requirements quality: completeness, clarity, testability; reduced rework and churn in delivery. • On‑time readiness: backlog items "definition of ready" met

Title: Lead Product Manager - AI & Strategic Initiatives Location : DC Metro Area Target Start Date : ASAP Type: contract Pay Rate: DOE The Lead Product Manager is responsible for the planning, execution, and lifecycle management of one or more products, including all aspects of the Product Development Lifecycle (PDLC): backlog management, discovery, design, engineering collaboration, and production delivery. This role partners closely with technology and business stakeholders to define product vision, develop strategic roadmaps, and prioritize development initiatives. The Lead Product Manager works cross-functionally to ensure objectives, timelines, and commitments are successfully achieved. Responsibilities • Partner with Engineering, UX, and business stakeholders to deliver products that solve critical business problems and provide an excellent user experience. • Guide and support cross-functional teams throughout the product development lifecycle to ensure alignment with business objectives. • Drive continuous product improvement through user feedback, research, usability analysis, and sentiment studies. • Prioritize and manage the product backlog based on business value, impact, and development effort. • Develop product vision, strategic roadmaps, and long-term planning initiatives. • Assist with budgeting, resource planning, and business case development. • Facilitate collaboration across teams to ensure successful delivery and adoption of product capabilities. • Communicate product strategy, priorities, and status updates to stakeholders and leadership. Qualifications • Bachelor's degree in Business, Information Technology, or a related field. • Master's degree preferred. • 7-10 years of Product Management experience. • Strong analytical, problem-solving, and decision-making skills. • Excellent communication and interpersonal skills with the ability to influence stakeholders at multiple levels. • Ability to navigate complex challenges and manage competing priorities effectively. • Demonstrated success building strong cross-functional working relationships. • Experience creating technical and business documentation including functional requirements, workflows, use cases, and related artifacts. • Strong organizational skills with attention to detail and execution. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Owning the product strategy and lifecycle for AI inference and model serving, the full-time Product Manager - AI Inference will lead technical discovery and collaborate with engineering teams to optimize performance across GPU, network, and storage infrastructures in a remote environment. Key responsibilities Own product strategy, roadmap, and lifecycle for inference and model serving, including serverless inference and autoscaling Lead technical discovery with NeoClouds and enterprise teams, translating findings into prioritized requirements Drive go-to-market execution, including pricing, packaging, and direct engagement with customers and partners Required qualifications 7+ years in product management or a senior technical role focused on AI/ML and inference products Strong understanding of production AI inference, including model serving and observability Proven ability to evaluate performance trade-offs across GPU, network, and storage layers Working knowledge of modern inference runtimes and optimization patterns in production Credibility with engineering leaders and comfort in technical discussions with platform engineering buyers

About BluJuniper BluJuniper is an AI and optimization company building advanced software systems for complex operational environments. Our work spans cloud-native platforms, computer vision, natural language processing, data infrastructure, secure collaboration, and mission-focused AI/ML applications. We are looking for a Senior AI/ML Engineer to develop audio, speech, transcription, and natural language processing capabilities for advanced AI-enabled applications. This role will focus on model development, fine-tuning, evaluation, and production inference workflows. Compensation $125,000 - $225,000 per year Compensation will be based on experience, location, and qualifications. BluJuniper offers competitive compensation and benefits for eligible employees. About The Role As a Senior AI/ML Engineer, you will work on audio event detection, speech recognition, transcription, NLP models, and related production pipelines. You should be comfortable taking a capability from data preparation through training, testing, evaluation, deployment support, and performance monitoring. This role is ideal for an engineer with strong Python experience who understands applied machine learning, model evaluation, and production inference. Experience with lower-level or object-oriented languages such as C++ or Go is a plus. Responsibilities · Develop, fine-tune, test, and evaluate audio, speech, transcription, and NLP models. · Work with Whisper or comparable speech models, as well as broader NLP model families. · Build and maintain data pipelines and inference pipelines for model-driven capabilities. · Define metrics and evaluation methods for each model, algorithm, or pipeline delivered. · Support audio event detection, speech detection, transcription, parsing, and related workflows. · Analyze model quality, latency, robustness, failure modes, and operational limitations. · Collaborate with backend, data, product, and AI/ML teams to integrate capabilities into the broader platform. · Document model behavior, evaluation results, limitations, and operational considerations. Required Qualifications · 5+ years of professional software engineering, machine learning, data science, or applied AI experience. · Strong proficiency in Python and modern machine learning frameworks. · Experience with ASR, audio ML, speech processing, NLP, transcription systems, or related applied ML domains. · Experience training, fine-tuning, testing, and evaluating machine learning models. · Experience building data pipelines, inference pipelines, or model-serving workflows. · Ability to define meaningful metrics and evaluation approaches for model performance and system behavior. · Strong understanding of data quality, model performance tradeoffs, and production ML practices. Preferred Qualifications · Experience with Whisper, speech detection, audio event detection, signal processing, speaker or audio parsing, or related technologies. · Experience with transformers, LLMs, embeddings, NLP model adaptation, or model fine-tuning. · Experience with lower-level or object-oriented languages such as C++, Go, Rust, or Java. · Experience optimizing inference latency, throughput, robustness, or deployment cost. · Experience working in regulated, government, defense, or enterprise security environments. What Success Looks Like In this role, success means you can deliver practical model capabilities with clear evaluation results. You can explain what a model does well, where it fails, how it was measured, and how it should be integrated into production systems. What We Are Looking For We are looking for someone who is analytical, hands-on, and comfortable moving between research, engineering, and production implementation. The ideal candidate values measurement, repeatability, and clear communication about model performance. Location This is a hybrid role based in Washington, DC. Work Authorization And Clearance Eligibility Candidates must be legally authorized to work in the United States. An active U.S. government security clearance is not required for this role. Candidates who currently hold, have previously held, or may be eligible to obtain and maintain a U.S. government security clearance are preferred. Certain customer, contract, or regulatory requirements may require additional eligibility verification. Benefits · Health, dental, and vision benefits for eligible employees. · Flexible work environment. · Opportunity to work on advanced computer vision, natural language processing, AI, optimization, and backend infrastructure problems. · High-impact role with meaningful ownership over technical direction. · Collaborative team environment with direct visibility into product and company strategy. Equal Opportunity Statement BluJuniper is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protec

The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. is hiring a part-time Scientist II based in Bethesda, Maryland. The successful candidate will lead qualitative research initiatives aimed at developing patient-centered clinical support tools (CSTs) and contribute to the innovation of healthcare solutions utilizing AI. Candidates should possess a Doctoral Degree and a minimum of 5-8 years experience in research. The hourly pay range for this position is $44.76-$58.00, dependent on experience and education.

Responsibilities Peraton Labs is seeking AI/ML Research Scientists to support the development of AI-enabled products and technical capabilities for the FAA BNATCS Program. You will work closely with Labs internal Agentic AI teams in support of the Program CTO to perform analysis, build software, develop prototypes, and contribute to mission-relevant solutions. Successful candidates will combine strong software engineering and AI/ML skills with curiosity, adaptability, and a collaborative mindset. Within this role you will help build the next generation of AI-enabled mission capabilities in a hands-on environment where strong ideas, adaptability, and engineering execution matter. This is an opportunity to work on meaningful problems alongside high-caliber teams developing real products. Key responsibilities may include: • Design, develop, test, and refine AI/ML-enabled applications and components supporting Digital Command Center objectives • Conduct analysis, experimentation, and coding in support of agentic AI workflows and technical products • Build software using Python and other languages as required by the mission and technical environment • Integrate LLMs and API-based AI services into usable tools and workflows • Collaborate with internal Labs teams to move ideas from prototype to practical capability • Contribute across the stack as needed, including data processing, backend logic, orchestration, and user-facing features • Evaluate emerging tools, frameworks, and technical approaches relevant to AI-enabled mission systems • Support a team culture grounded in learning agility, openness to feedback, and strong collaboration Qualifications Required Qualifications • Bachelor’s degree with 5+ years of relevant experience, Master’s with 3+ years, or PhD with demonstrable applied AI/ML experience • Strong software development experience with expertise in Python • Experience with one or more additional programming languages such as C, C++, or JavaScript • Demonstrated AI/ML experience through a record of professional work, research, prototypes, or delivered technical projects • Experience working with LLMs at the API level • Familiarity with agentic AI concepts, autonomous workflows, or intelligent orchestration patterns • Strong analytical problem-solving skills and ability to work in an evolving technical environment • US Citizenship with ability to obtain/maintain an FAA Public Trust suitability • Must be local to and able to commute to one of our on-site locations: Annapolis Junction, MD; Bowie, MD; or Herndon, VA Desired Qualifications • Experience with ML libraries and frameworks such as PyTorch or TensorFlow • Familiarity with Anthropic Model Context Protocol (MCP) • Experience with infrastructure/orchestration tooling such as Kubernetes and Terraform • Understanding of networking fundamentals and the OSI stack • Experience with full-stack development or end-user product development • Background in applied research, rapid prototyping, or mission-oriented software development Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: Play a key role in architecting the algorithms and models that will power our products Train on a dedicated high-performance compute cluster specialized for deep learning research Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions Remain an active contributor to the research community by partnering with universities and publishing high impact papers Who we are: Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience. Responsibilities Develop highly scalable classifiers and detectors that solve real-world problems Learn and understand a large body of research in deep learning and machine learning Participate in cutting-edge research for medical applications of computer vision Must Have Experience Experience with deep learning and convolutional networks Strong theoretical and empirical research background Fluency with a deep learning framework and Python Nice to Have Experience Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR Large scale machine learning experience working with terabytes of data Implemented custom operations/modules in a deep learning framework Imagination, ambition, and curiosity

Pearson is seeking a Specialist, Researcher to support the research agenda across its formative assessment portfolio. This role focuses on innovative applied research in various assessment contexts and requires strong expertise in educational measurement and statistical analysis. The ideal candidate will work closely with cross-functional teams to advance student learning outcomes and contribute to research methodologies supporting assessment innovations. The minimum salary for this position is between $100,000 and $125,000.

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. AT&T Global Public Sector is a trusted provider of secure, IP enabled, cloud-based, network solutions and professional services to the Federal Government. We are dedicated to recruiting, developing and empowering a diverse, high-performing workforce that is passionate about what they do, committed to our shared values and dedicated to our customers’ mission. AT&T provides professional services to the office of the Marine Corps' Assistant Deputy Commandant for Installations & Logistics (I&L), Logistics Plans, Policies and Strategic Mobility. Work includes Strategic Communications Management, Logistics Innovation & Advocacy, IT Portfolio Management, Data Management, Analytics, Program Management and other related services in order to improve and enhance the lethality of the Marine Air/Ground Task Force (MAGTF) through logistics speed, agility, and flexibility. AT&T has an opening for an AI Research Scientist to support DoD and federal defense customers by advancing AI algorithms, developing innovative models, and applying cutting-edge research to solve complex mission-critical challenges in a secure government environment. Job Duties/Responsibilities: • Conducts research to advance AI algorithms, techniques, and methodologies • Develops algorithms and models for solving complex AI problems, such as machine learning, natural language processing, computer vision, or robotics • Designs experiments, collects and analyzes data, and develops prototypes to test new ideas and theories • Explores new approaches, refines existing techniques, and optimizes algorithms for performance and scalability • Stays up to date with the latest advancements in AI research and incorporates new techniques into ongoing project What You’ll Need • Demonstrated experience performing duties within a DoD, federal, or defense‑support environment • Ability to operate effectively in a structured, mission‑driven, and customer‑facing government setting • Experience supporting programs with defined task orders, performance metrics, and delivery timelines • Ability to comply with all federal government contracting, suitability, and security requirements • Strong communication skills and the ability to work with military, civilian, and contractor personnel Required Clearance: Secret Clearance (#secret) Required Qualifications: • Master’s degree in information systems or related field • 10+ years of related experience • Prior experience supporting USMC, DoD, or other federal defense organizations • Familiarity with Marine Corps organizational structures, operational processes, or logistics/IT environments • Experience briefing or supporting senior government or military leadership • Understanding of federal acquisition, compliance, or operational frameworks This position requires the ability to obtain and maintain a government security clearance at the level required by the task order. Employment is contingent upon award of task order and successful completion of the security clearance process and continued eligibility throughout the course of employment. Our AI Research Scientist's earn between $210,000 - $253,798. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Joining our team comes with amazing perks and benefits: • Medical/Dental/Vision coverage • 401(k) plan • Tuition reimbursement program • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) • Paid Parental Leave • Paid Caregiver Leave • Additional sick leave beyond what state and local law require may be available but is unprotected • Adoption Reimbursement • Disability Benefits (short term and long term) • Life and Accidental Death Insurance • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal • Employee Assistance Programs (EAP) • Extensive employee wellness programs • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Chantilly, Virginia It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

A leading AI research firm seeks a Research Scientist (Chemistry) to train AI models, evaluate outputs, and enhance model quality. The role requires expertise in chemistry, with options for full-time or part-time remote work. Responsibilities include testing AI chatbots and evaluating their performance. Candidates should be detail-oriented, fluent in English, and have a solid understanding of chemistry concepts. A Masters or PhD is preferred but not mandatory. Compensation starts at $40+ per hour.

Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. Your key responsibilities As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients. You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. Your responsibilities will include: • Leading workstream delivery and ensuring the effective management of processes and projects. • Continuously improving processes by identifying innovative solutions through research and analysis. • Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results. • Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure. • Identifying opportunities for additional services and managing engagement economics. Skills and attributes for success To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services The following attributes will make a significant impact: • Proven ability to develop solutions to complex problems and recommend changes to policies and procedures. • Strong judgment in selecting methods and techniques for obtaining results. • Experience in managing client relationships and delivering high-quality service. • Ability to lead teams effectively and manage change within the organization. To qualify for the role, you must have • A Bachelor’s degree required (4-year degree). • 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning • 2-4 years of experience directly managing technical teams • Strong skills in Python • Ability lead, collaborate, and communicate effective

View all jobs Software Engineer 2 - (AI Infrastructure, AWS, Kubernetes) Annapolis Junction, Maryland • Computer/Software Software Engineer 2 - (AI Infrastructure, AWS, Kubernetes) Clearance: TS/SCI w/ poly Position ID: 20-24-013-SWE2 Location: Annapolis Junction, Maryland Description Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We’re seeking a full-stack software engineer to support our AI infrastructure team. In this role, you’ll help build and maintain the platform that provides the foundation for the customer’s AI capabilities, focusing on inference services while supporting the broader ecosystem of AI-enabled applications. This role is intended for experienced engineers who can independently design, implement, and operate scalable AI infrastructure components. • Design, implement, and optimize infrastructure for AI model inference at scale. • Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies. • Navigate ambiguity and define solutions for underspecified systems and requirements. • Drive adoption of new technologies and practices across engineering teams. • Implement monitoring, logging, and observability solutions for AI services. • Automate infrastructure provisioning and configuration using IaC principles. • Ensure high availability, reliability, and performance of AI platform components. • Contribute to security best practices for AI systems and data. • Provide technical guidance and informal mentorship to junior engineers. Position Required Skills • Proven experience building and maintaining production systems at scale. • Experience with high-volume web application architecture and performance optimization. • Strong background in systems integration across diverse technologies and platforms. • Hands-on experience with cloud engineering in AWS. • Proficiency with Kubernetes administration and deployment patterns. • Strong Python programming skills. • Experience implementing observability solutions (APM, OpenTelemetry, Grafana, Prometheus). • Familiarity with CI/CD pipelines and DevOps practices. • Strong change management and organizational influence skills. • Ability to thrive in ambiguous environments and create structure where needed. • Excellent communication and collaboration skills. Position Desired Skills • Experience with AI inference serving technologies (vLLM, LiteLLM, etc.). • Previous experience with agentic frameworks (LangChain). • Knowledge of vector databases and embedding systems. • Experience with high-performance computing or distributed systems. SWE2 Qualifications B.S. in a technical discipline or 4 additional yrs. in place of B.S. Salary Range: **$191k-$234k (Annually) • The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range. Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications. Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission. We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. www.akina-inc.com/careers Share This Job

**This job is remote but the first 2-5 days will be onsite in Annapolis, MD. There will be onsite meetings from time to time so candidates must be within driving distance of Annapolis, MD (21401) Candidates must be authorized to work in the U.S. without current or future sponsorship. This is a 5 year engagement with possible extensions.** We’re looking for an AI/ML Software Engineer to design and build intelligent solutions that automate targeted tasks, support internal teams, and enhance user-facing applications. This role focuses on applying practical AI and machine learning techniques to real-world workflows, including automation, data processing, and advanced language model applications. You’ll work on initiatives such as chatbot development, intelligent document processing, reporting enhancements, and building AI-driven tools for knowledge retrieval, transcription, translation, redaction, and more. The ideal candidate enjoys solving complex problems and turning emerging technologies into scalable, production-ready systems. What You’ll Do • Design and develop software solutions that incorporate AI/ML to improve efficiency and user experience • Collaborate with cross-functional teams to define system architecture, workflows, and technical approaches • Evaluate and implement appropriate solutions, including both LLM-based and traditional methods • Build and maintain data pipelines and AI-enabled applications • Develop and execute testing strategies, including unit and integration testing for AI workflows • Optimize systems for performance, scalability, and cost efficiency • Support deployment of applications in cloud and containerized environments • Document system design, workflows, and technical decisions What We’re Looking For • Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field • 5+ years of experience in AI/ML, data science, or applied machine learning • 5+ years of experience in software development, system design, or backend/web applications • Experience working with modern AI tools, including large language models (LLMs), APIs, or locally deployed models • Strong programming experience in Python and building scalable backend services, APIs, or data pipelines • Solid understanding of SQL and relational databases (e.g., PostgreSQL) • Experience with Git, containerization (Docker), and cloud-based or distributed environments • Prior experience supporting government or public sector projects required • Must be authorized to work in the U.S. without current or future sponsorship Nice to Have • Experience with RAG architectures, embeddings, vector search, or graph-based retrieval (e.g., Neo4j) • Exposure to multi-agent or task-driven AI systems and workflow orchestration • Familiarity with validating AI outputs, reducing hallucinations, and deploying AI into production environments • Experience contributing to open-source projects • Knowledge of hybrid cloud environments, asynchronous processing, or distributed systems • Exposure to frontend tools such as React or chatbot frameworks (e.g., Microsoft Teams integrations) • Familiarity with classical NLP techniques in addition to LLM-based approaches

A leading technology company in Washington, DC is seeking an experienced Solution Architect for Data & AI to join the Regional Leadership Team. This position requires over 10 years of experience delivering Data & Analytics solutions, particularly on Microsoft Azure. Responsibilities include leading project implementations, mentoring team members, and engaging with clients to drive positive outcomes. Candidates should possess strong technical skills and expertise in relevant Azure technologies. Remote working options are available.#J-18808-Ljbffr Skills: Artificial Intelligence (AI), Data Analysis, Leadership, Mentoring, Microsoft Windows Azure About the Company: IBM Computing

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we’re the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from “data chaos” to “agentic autonomy.” You will work directly with government organizations to design, build, and deploy mission‑critical AI applications on the Cloudera Data Platform (CDP). This is not a “theoretical” role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys—helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air‑gapped or hybrid‑cloud environments. As the AI Solutions Engineer you will: • AI Model Strategy, Selection and Implementation • Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. • Guide customers on “Build vs. Buy vs. Fine‑tune” decisions, prioritizing open‑source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. • Experience building Agentic Workflows (AI agents that can execute API calls and multi‑step tasks). • End‑to‑End Data Engineering • Design and implement robust data pipelines within CDP to transform “messy” legacy data into AI‑ready formats. • Develop and optimize Vector Databases and Retrieval‑Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. • Build data pipelines with Spark, Nifi, Kafka or other ETL tools. • Optimization & Performance Tuning • Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). • Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. • Public Sector Advisory & Governance • Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. • Translate complex technical AI concepts into mission‑value briefings for GS‑level stakeholders and agency leadership. We’re excited about you if you have: (Minimum Qualifications): • Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. • Hands‑on experience with Cloudera (CDP), Spark, or similar big data ecosystems. • Proficiency in orchestration tools like Lang Chain, Llama Index, or Haystack. • Experience developing visual data representations and dashboards (Django, React, or Angular). • Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc). • Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and No SQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). • Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). • Active Top Secret Security Clearance. You may also have: (Preferred Qualifications) • Experience fine‑tuning of foundational models using techniques such as PEFT (Parameter‑Efficient Fine‑Tuning) and LoRA to adapt AI to domain‑specific government nomenclature. • Experience training specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. • Experience installing and operating Cloudera Data Platform. • Experience installing and operating Kubernetes. • Experience in Air‑Gapped deployments and managing AI workloads in disconnected environments. • Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. • Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: • Generous PTO Policy • Support work life balance with Unplugged Days. • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups EEO/VEVRAA #J-18808-Ljbffr

hatch I.T. is partnering with Babel Street to find an Image & Computer Vision AI Engineer. Please see details below: About the Role As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence applications. You will build systems that extract, analyze, and reason over visual data-enabling facial matching, object and scene understanding, geolocation and location inference from imagery, and multimodal intelligence workflows. This role is execution-focused and suited for engineers with strong foundations in computer vision, image processing, and machine learning who want to apply their skills to real-world, mission-driven problems. You will work closely with AI, Product, and Engineering teams to deliver reliable, scalable, and cost-efficient vision capabilities, including integration with multimodal LLM systems that allow users to search and reason over images using natural language. This is a hybrid role to be based out of either their Reston, VA/Washington DC office or their Somerville MA office. Role Focus: This role spans three practical execution areas: Computer Vision & Image Analytics You will implement and operate image analytics pipelines that support facial matching, object detection, scene understanding, and image similarity. This includes image preprocessing, feature extraction, model inference, evaluation, and performance optimization to meet mission-grade accuracy and latency requirements. Geospatial & Location Inference from Imagery You will contribute to capabilities that infer location, context, or environmental attributes from imagery-leveraging visual cues, metadata, and learned representations. This includes supporting image-based geolocation, landmark recognition, and contextual scene analysis used in intelligence workflows. Multi-Modal AI & Image Search You will support multimodal AI systems that combine vision models with LLMs, embeddings, and retrieval pipelines to enable natural-language search and reasoning over images and image collections. You will help integrate visual understanding into broader intelligence applications and workflows. What you will do: • Build and maintain computer vision pipelines for image ingestion, preprocessing, inference, and evaluation. • Implement facial matching, and identity-related vision workflows in accordance with accuracy, safety, and compliance requirements. • Develop and support object detection, image similarity, and scene understanding models. • Contribute to image-based geolocation and location inference capabilities using visual features and contextual signals. • Support multimodal AI workflows that combine image embeddings with LLM-based search and reasoning. • Write clean, maintainable Python code and contribute to production services and APIs. • Assist with model evaluation, bias testing, and accuracy monitoring for vision systems. • Optimize inference pipelines for performance, scalability, and cost efficiency (GPU usage, batching, model selection). • Collaborate with Product and Engineering teams to integrate vision capabilities into user-facing intelligence applications. What you will bring: Required • 3+ years of experience in computer vision, image processing, or applied machine learning. • Hands-on experience with computer vision models and techniques (e.g., CNNs, transformers for vision, feature embeddings). • Experience building or integrating image analytics such as facial recognition, object detection, or image similarity. • Strong programming skills in Python; experience with common CV/ML libraries (PyTorch, TensorFlow, OpenCV, etc.). • Solid understanding of machine learning fundamentals, model evaluation, and performance tradeoffs. • Experience working with large image datasets and production ML pipelines. • Ability to work collaboratively in a fast-moving, mission-driven engineering environment. Preferred • Experience with facial matching or biometric systems in regulated or high-stakes environments. • Experience with image-based geolocation or scene/location inference. • Familiarity with multimodal AI systems, including combining vision models with LLMs or natural-language search. Education: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field required. Advanced degree is a plus but not required. $140,000 - $170,000 a year

Perform research to advance the state of the art in speech and audio LLMs • Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones • Influence the future of research in frontier modeling with detailed technical reports Minimum Qualifications • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • Ph.D. and established track record of leading and/or contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP) • Experience communicating research for public audiences of peers, as well as non-technical audiences • 3+ years of industry or equivalent research experience in AI research and related fields Preferred Qualifications • Direct experience in generative AI, and LLM research • Hands-on experience applying RL techniques to fine-tune large language models • Hands-on experience on speech processing (ASR, TTS, S2S, etc.) • Relevant candidates will have a track record on developing speech and audio large language models and experience with posttraining and evaluation of LLMs

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. At Netflix, our mission is to entertain the world. That means connecting billions of people with movies, TV shows, and games they'll love. To do this, we invest in deeply understanding our members and building world-class discovery and personalization experiences. Every time a member turns to Netflix, they're relying on us to help them find their next favorite story-and delivering on that promise requires state-of-the-art machine learning and personalization models at a global scale. Applied Machine Learning Research at Netflix drives various aspects of our business, including personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, evidence, etc. As such, our research spans many Artificial Intelligence and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising. We are seeking exceptional individuals to join our team as full-time Research Scientists. In this role, you will drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions. Your work will involve exploring and applying state-of-the-art AI/ML techniques-including LLM pretraining, fine-tuning, and robust offline experimentation-while developing production-ready systems. To thrive in this position, you should have a solid background in Artificial Intelligence and Machine Learning, strong software engineering skills, a passion for continuous learning, and a genuine enthusiasm for solving real-world problems. Collaboration within multi-disciplinary teams is essential, as are excellent communication and leadership abilities. You should be adept at setting priorities and maintaining a strong execution focus in a dynamic, fast-paced environment. What we are looking for: A strong passion for solving real-world problems at scale through the application of cutting-edge Artificial Intelligence and Machine Learning Ph. D or Masters in Computer Science, or any of the related fields 6+ years of research experience with a track record of delivering quality results Deep expertise in machine learning, including both supervised and unsupervised learning, and practical experience in LLM development. Demonstrated success in applying LLMs and other Foundation Models to real-world challenges, preferably with experience in post-training LLMs, including fine-tuning and distillation. Strong software engineering skills. Required: Python, TensorFlow, PyTorch Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop Excellent interpersonal, written, and verbal communication skills Preferred, but not required: Proven experience as a technical leader Skilled in collaborating with cross-functional teams Research publications in peer-reviewed journals and conferences on relevant topics Hands-on experience in distributed training, reinforcement learning-based training of LLMs, conversational agents, and Personalization Proficiency with cloud computing platforms and large web-scale distributed systems Applied research experience in industrial settings Contributions to open source contributions Experience in one or more of the following areas: search, natural language processing, knowledge graphs, conversational agents, personalization, and reinforcement learning Links: Netflix Research site Our long term business view NOTE: This job posting is inclusive of a variety of positions within our AI for Member Systems (AIMS) Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s). All teams may not be hiring at the same time. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00 This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer

Our client is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge R&D team in Richmond, Virginia, US. This role is at the forefront of developing next-generation AI technologies and algorithms. You will be responsible for designing, implementing, and evaluating advanced machine learning models, conducting groundbreaking research, and contributing to high-impact AI applications. The ideal candidate possesses a strong academic background, a deep understanding of ML principles, and a passion for pushing the boundaries of artificial intelligence. Key Responsibilities: Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML techniques, including supervised, unsupervised, reinforcement learning, and neural networks. Analyze large datasets, preprocess data, and extract meaningful features for model training. Evaluate model performance, identify areas for improvement, and iterate on designs. Collaborate with software engineers to deploy and integrate AI models into production systems. Stay current with the latest advancements in AI and ML research through literature review and conference participation. Publish research findings in leading scientific journals and present at conferences. Mentor junior researchers and interns, fostering a collaborative research environment. Contribute to the intellectual property portfolio through patent applications. Qualifications: Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven research experience demonstrated through publications in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong theoretical foundation in machine learning, deep learning, and statistical modeling. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, scikit-learn. Experience with data manipulation and analysis tools. Ability to design and conduct rigorous experiments, interpret results, and draw insightful conclusions. Excellent problem-solving skills and creativity in developing novel solutions. Strong communication and presentation skills, with the ability to articulate complex technical concepts. Experience with distributed computing frameworks (e.g., Spark) is a plus. Experience in specific domains like NLP, computer vision, or reinforcement learning is highly desirable. Join a forward-thinking team that is shaping the future of AI. This exciting opportunity is based in Richmond, Virginia, US .

Job Requisition ID # 26WD98667 Position Overview Autodesk's domains — architecture, engineering, construction, manufacturing, media & entertainment — provide a distinctive research environment: rich structured data, long-horizon reasoning tasks, and real-world evaluation grounded in professional workflows. Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational design tools give us something most labs don't have: high-fidelity, domain-grounded verifiers that can serve as reward signals for post-training. Rather than relying solely on human preference data, we can ground reinforcement learning in the laws of physics and the constraints of real engineering. These are exactly the kinds of challenges — and assets — that make post-training and alignment research here genuinely distinctive. We publish at NeurIPS, ICML, ICLR, CVPR, and SIGGRAPH. We collaborate with leading academic and industry labs. And we have a direct line from research advances to product impact at scale. This is not a role where research sits behind a wall from engineering — you will see your work matter. Respoinsibilities • Post-training for model development — from RLHF and preference optimization to agentic systems and long-horizon reasoning • Develop novel algorithms that improve model reliability, controllability, and alignment • Make principled architectural decisions about when to address challenges at the pre-training, post-training, or system level • Design and run experiments that shape model behavior, robustness, and reasoning quality • Partner with infrastructure teams to build scalable, reproducible post-training workflows • Contribute to publications, patents, and Autodesk's external research visibility • Design evaluation frameworks for long-horizon reasoning, tool use, agentic behavior, safety, and real-world workflow completion • Lead rigorous model analysis and interpretability efforts • Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology • Establish model readiness criteria and provide go/no-go recommendations for releases • Communicate technical risks, limitations, and trade-offs clearly to leadership Minimum Requirements • Deep hands-on expertise in reinforcement learning for foundation models, and fluency with post-training methods (RLHF, RLAIF, DPO, PPO, or adjacent approaches) • Proven experience leading or mentoring technical research teams — whether in an academic lab, AI research organization, or industry setting • Strong intuition for model behavior, alignment challenges, and post-training trade-offs • Experience designing evaluation systems and thinking rigorously about what it means for a model to be ready • Ability to communicate complex technical trade-offs clearly to both technical and non-technical audiences • A PhD or equivalent depth of industry research experience in ML, RL, AI, or a related field • Experience at a frontier model lab or advanced applied AI organization • A strong publication record at leading ML or AI venues • Background in alignment research, preference learning, or agentic AI • Experience deploying or supporting production AI systems • Familiarity with large-scale training infrastructure and compute trade-offs At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. AT&T Global Public Sector is a trusted provider of secure, IP enabled, cloud-based, network solutions and professional services to the Federal Government. We are dedicated to recruiting, developing and empowering a diverse, high-performing workforce that is passionate about what they do, committed to our shared values and dedicated to our customers' mission. AT&T provides professional services to the office of the Marine Corps' Assistant Deputy Commandant for Installations & Logistics (I&L), Logistics Plans, Policies and Strategic Mobility. Work includes Strategic Communications Management, Logistics Innovation & Advocacy, IT Portfolio Management, Data Management, Analytics, Program Management and other related services in order to improve and enhance the lethality of the Marine Air/Ground Task Force (MAGTF) through logistics speed, agility, and flexibility. AT&T has an opening for an AI Research Scientist to support DoD and federal defense customers by advancing AI algorithms, developing innovative models, and applying cutting-edge research to solve complex mission-critical challenges in a secure government environment. Job Duties/Responsibilities: • Conducts research to advance AI algorithms, techniques, and methodologies • Develops algorithms and models for solving complex AI problems, such as machine learning, natural language processing, computer vision, or robotics • Designs experiments, collects and analyzes data, and develops prototypes to test new ideas and theories • Explores new approaches, refines existing techniques, and optimizes algorithms for performance and scalability • Stays up to date with the latest advancements in AI research and incorporates new techniques into ongoing project What You'll Need • Demonstrated experience performing duties within a DoD, federal, or defense‑support environment • Ability to operate effectively in a structured, mission‑driven, and customer‑facing government setting • Experience supporting programs with defined task orders, performance metrics, and delivery timelines • Ability to comply with all federal government contracting, suitability, and security requirements • Strong communication skills and the ability to work with military, civilian, and contractor personnel Required Clearance: Secret Clearance (#secret) Required Qualifications: • Master's degree in information systems or related field • 10+ years of related experience • Prior experience supporting USMC, DoD, or other federal defense organizations • Familiarity with Marine Corps organizational structures, operational processes, or logistics/IT environments • Experience briefing or supporting senior government or military leadership • Understanding of federal acquisition, compliance, or operational frameworks This position requires the ability to obtain and maintain a government security clearance at the level required by the task order. Employment is contingent upon award of task order and successful completion of the security clearance process and continued eligibility throughout the course of employment. Our AI Research Scientist's earn between $210,000 - $253,798 . Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Joining our team comes with amazing perks and benefits: • Medical/Dental/Vision coverage • 401(k) plan • Tuition reimbursement program • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) • Paid Parental Leave • Paid Caregiver Leave • Additional sick leave beyond what state and local law require may be available but is unprotected • Adoption Reimbursement • Disability Benefits (short term and long term) • Life and Accidental Death Insurance • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal • Employee Assistance Programs (EAP) • Extensive employee wellness programs • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Chantilly, Virginia It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Find Junior Nlp Engineer jobs in Providence for candidates with 1-3 years experience.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: Do you want to engineer software systems that contribute to solving our nation’s most critical problems? Do you want to work along side engineers, scientists, and domain specialists that are experts in their fields? Are you passionate about best practices for delivering the highest quality software solutions? We're making a difference every day—working for a safer, healthier, and more secure nation and world. At MITRE, you’ll apply your skills and experience to solve tangible, high-impact challenges facing our nation. You’ll contribute to diverse projects in support of our government sponsors while benefiting from meaningful learning and growth opportunities. Our workplace reflects our values: we invest in your development so you can build a long-term career here. Join us for mission-driven work, competitive benefits, exceptional professional development, and a culture of innovation that values flexibility, collaboration, and career growth. Roles & Responsibilities: MITRE is seeking a Lead Agentic Software Engineer to design, build, secure, and operate mission-focused software systems and data platforms using state-of-the-art agentic and AI-enabled software development techniques. In this role, you’ll apply modern tools and practices to develop prototypes and field-ready capabilities, advise sponsors on effective adoption, and help establish guidance, best practices, and guardrails for responsible use. You’ll deliver features and technical solutions, shape system architecture and engineering process improvements, and lead both sustained program execution and rapid response mission needs. The applicant should be prepared to work across multiple domain areas and to support a mix of standard program work and urgent, high-impact enablement tasks as organizational priorities evolve. Areas of engagement may include • Design, develop, test, and deploy mission software and data platforms using agentic/AI-assisted workflows with clear human accountability and review • Stand up and operate agentic development toolchains (code/test/review agents, copilots, automation bots) integrated into standard engineering practices • Rapidly prototype mission capabilities with agentic methods and mature them into production-grade systems (security, reliability, scalability, observability) • Define, implement, and enforce guardrails for agentic engineering (approved tools/models, data handling, secrets, provenance, auditability, safe prompting) • Establish evaluation and quality gates for AI-generated artifacts (tests, static/security analysis, coding standards, CI checks, acceptance criteria) • Architect, build, and operate distributed cloud systems (AWS/multi-cloud) using agentic techniques to manage performance, resilience, cost, and troubleshooting • Design and integrate APIs, backend services, and data flows; build and operate data pipelines and orchestration where applicable • Automate DevSecOps and CI/CD with AI-aware controls (supply-chain security, dependency/container/IaC scanning, SAST/DAST, policy-as-code) and repeatable releases • Produce and maintain documentation, runbooks, and compliance-ready evidence for AI-assisted engineering, including observability integrations (e.g., Splunk) • Lead enablement: mentor teams, advise stakeholders/customers on agentic adoption, develop best practices/playbooks, and drive measurable process improvement Basic Qualifications: • Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience • Must be U.S. citizen eligible to obtain and maintain a Secret clearance • Entrepreneurial, innovative, and collaborative spirit and the curiosity to explore and push the boundaries of software development and software solutions • Strong software engineering fundament

A leading data privacy firm in San Francisco is seeking a hands-on Machine Learning Engineer to develop production-grade NLP systems. The ideal candidate will have over 3 years of experience in applied machine learning, particularly in NLP, and proficiency in Python and PyTorch. This role offers high autonomy and the opportunity to work with impactful data in various domains, including healthcare and finance. Competitive salary and comprehensive benefits are provided. #J-18808-Ljbffr TonicAI

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. We are transforming the healthcare experience by harnessing the power of AI to deliver simpler, more effective solutions for members, advocates, and brokers. The Lead Product Manager, AI Value Realization & Disruptive Innovation is a strategic, data-driven leader who serves as the enterprise’s “opportunity scout” and value architect—using advanced analytics, market intelligence, and business acumen to surface and size the next wave of high-impact AI investments. In this role, you are the architect of value for disruptive AI. You partner with product leaders across portfolios to uncover, validate, and prioritize breakthrough opportunities, leveraging enterprise data—operational metrics, member and advocate feedback, financial performance, and market trends—to identify where AI can deliver measurable outcomes. Your work shapes not only what we build, but why we build it, ensuring every initiative is grounded in a compelling, defensible value story. You lead the development of robust value frameworks and benefit realization models, authoring actionable, evidence-based cost-benefit analyses (CBAs) and investment cases that withstand executive and financial scrutiny. Your analyses connect technical feasibility, operational impact, member experience, and financial return—empowering leaders to make confident, data-driven decisions about where to invest and how to measure success. Accountability is central to this role. You design and publish transparent dashboards, track KPIs and OKRs, and conduct post-launch analyses to ensure every AI initiative delivers on its promise. You drive the decommissioning of legacy tools, quantify savings and reinvestment opportunities, and ensure capital is concentrated on the most accretive solutions. Collaboration is at the heart of your impact. You work hand-in-hand with Product, Delivery, UX, Data Science, and Engineering teams to translate disruptive opportunities into actionable roadmaps and successful launches. You coach teams on value storytelling, helping them articulate the “why” behind their initiatives and connect technical decisions to frontline and member impact. You are also a strategic advisor to senior leadership, providing clear, actionable recommendations that shape the enterprise AI portfolio. Your ability to synthesize complex data into persuasive narratives ensures that innovation is always aligned with business priorities and member needs. You anticipate market shifts, regulatory changes, and emerging technologies, ensuring our company’s AI investments remain future-ready and resilient. In a fast-moving environment, your ability to balance analytical rigor with practical judgment is essential. You bring operational empathy to every analysis, ensuring recommendations are grounded in the realities of care delivery and member needs. Your leadership helps UnitedHealthcare stay ahead of industry disruption, accelerate time-to-value, and deliver intelligent, personalized care experiences that make a measurable difference for our members and the enterprise. You’ll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: • Use enterprise data to discover and size disruptive AI opportunities; quantify addressable value, feasibility, risk, and time-to-value • Author rigorous, decision-grade cost-benefit analyses (CBAs) and investment memoranda; recommend stage-gated funding and clear “go/hold” criteria • Define OKRs/KPIs and benefit realization logic; build transparent dashboards linking investment to outcomes • Partner with Product, Delivery, UX, Data Science, and Engineering to turn opportunities into test-first pilots; set guardrails for safety, privacy, and compliance • Lead post-production monitoring, root-cause analysis, and optimization backlogs; document lessons learned and value deltas against CBAs • Identify redundant tools and legacy workflows; quantify decommission savings and reinvestment opportunities • Coach product leaders to articulate the “why” behind initiatives; craft concise, executive-ready narratives and visuals Measures of Success: • Percentage of opportunities funded based on your CBAs; audit-ready documentation of assumptions and value logic • Realized outcomes vs. approved business cases (AHT, containment, NPS, medical cost, decommission savings) • Cycle time from opportunity identification to pilot to scale; reduction in rework and post-p

A leading defense contracting company is seeking a Machine Learning Developer to join their team in Arlington, VA. This hybrid position requires collaborating with software engineers to develop ML/AI solutions and improve predictive models. Candidates must have a strong background in programming languages like Python or R and relevant experience in machine learning technologies. An active Secret clearance is necessary. This role offers opportunities to work on innovative solutions and stay updated with latest trends.

Our Mission As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine Learning Model Platform team at Indeed, you will be responsible for leading and executing key objectives for the Model Platform team, which includes providing support for critical entities like Matching and Recommendation systems, ML model training portal, etc. You will be expected to design and build high-performance, reusable components utilized by hundreds of ML practitioners to transition from research to production impact, covering the entire ML model lifecycle. In this role, you will operate at the intersection of software engineering and machine learning, developing foundational components that facilitate diverse ML model strategies with exceptional performance and scalability. You will engage in close collaboration with Data Scientists to ascertain their requirements, spearhead technical design choices, contribute to workflow optimization, and directly support the achievement of their key objectives. You'll play a critical role in evolving our tech stack to stay in line with cutting-edge industry technologies. Responsibilities • Own the design, development, and evolution of complex systems, frameworks, or platforms. • Drive technical decision-making, balancing short-term delivery with long-term maintainability and scalability. • Architect new solutions, evaluate trade-offs, and validate ideas through prototyping, experimentation, or iteration on existing systems. • Participate in and influence code and design reviews across teams to uphold high engineering standards. • Identify performance, reliability, and scalability improvements and drive enhancements to existing systems. • Mentor and guide other engineers, supporting technical growth and best practices across teams. • Communicate clearly and effectively with engineers, product managers, and other business partners to align on technical direction and execution. Skills/Competencies • Requires a minimum of 8 years of related experience with a Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics; or 6 years and a Master’s degree; or a PhD with 3 years experience; equivalent experience may substitute for degree requirements. • Expertise in Python and modern ML frameworks like PyTorch & Triton. • Experience with AWS SageMaker or other cloud-based ML platforms. • Proficiency in software design, data structures, algorithms, and computer science fundamentals. • Experience designing, building, and operating scalable, reliable software systems or platforms. • Demonstrated ownership and accountability for technical outcomes and system quality. • Excellent collaboration and communication skills, with the ability to influence technical direction across teams. Salary Range Transparency Tier 1 - United States of America 140,000 - 210,000 USD per year Tier 2 - United States of America 155,000 - 233,000 USD per year Tier 3 - United States of America 171,000 - 257,000 USD per year Tier 4 - N/A Tier 5 - United States of America 195,000 - 293,000 USD per year Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role. Benefits - Health, Work/Life Harmony, & Wellbeing We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://www.indeed.co