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Position: Healthcare AI Solutions Architect (Pre-Sales) A leading global technology company is seeking a Technical Architect to partner with healthcare customers to drive digital transformation. The ideal candidate will possess strong technical advisory skills, proficiency in AI and data architectures, and exceptional communication abilities to articulate solutions effectively. Join the team to leverage Salesforce solutions and help clients navigate their technology strategy effectively. The position offers competitive compensation and extensive learning opportunities in a fast-paced environment. #J-18808-Ljbffr

Overview Your role as a Sr. Computer Vision Engineer will be based in Plano, TX to make key contributions to AI projects with a primary focus on computer vision, alongside Natural Language Processing, foundational models and other general AI/ML solutions aligned with PEP AI roadmap within the global digital transformation journey within PepsiCo. You will be part of a collaborative interdisciplinary team around data and analytics, where you will explore new technologies, and design the adoption of new products in the domain of computer vision AI to support the development of digital solutions to create business decision-making. Your work will span retail analytics, quality control systems, supply chain optimization, and consumer insights through visual intelligence. On the one hand, you will work closely with process owners, product owners and final business users. This will provide you with the correct visibility and understanding of criticality of your developments to business stakeholders and S&T functional leaders. On the other hand, you will work closely with other data scientists to transfer your findings to ensure the scalability, robustness and reusability of the solutions that you develop. Responsibilities You will be an internal ambassador of the team's culture around data and analytics. You will provide stewardship to colleagues in the solution development landscape and further lead the onboarding of new developments in AI within the PepsiCo domain, leading the development of best practices and standard ways of working. • Active contributor to code development in projects and services related to computer vision, object detection, image segmentation, video analytics, machine learning, mathematical modeling, AI and ML/AI Operations, and deep learning. • Design and deploy CV models for real-world applications including retail execution monitoring, manufacturing quality control, supply chain optimization, and visual search. • Active contributor in innovation activities, exploring the boundaries of technology to create AI solutions with the ability to continually prove accuracy and with a design goal of productization/reusability. • Create documentation for learnings and knowledge transfer. • Create reusable packages or libraries. • Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. • Partner with other data scientists working on industrialization. • Occasionally, coordinate work activities with business teams, other services and as required. • Communicate with data scientists and other S&T stakeholders in the process of service design, training and knowledge transfer. • Support large-scale experimentation and build analytical models. • Set KPIs and metrics to evaluate analytics solution given a particular use case. • Refine requirements into modelling problems. • Influence product teams through data-based recommendations. • Research in state-of-the-art methodologies. Compensation and Benefits: • The expected compensation range for this position is between $89,000 - $149,000. • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. • Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications • Master's Degree in Computer Science, Data Science, Mathematics, Statistics, Computer Vision, or a related quantitative field. • Preferred: PhD in Computer Science, Machine Learning, Computer Vision, or related fields, with specialization in deep learning for visual recognition. • Minimum: 4+ years of hands-on experience building, deploying, and evaluating computer vision models in a research or industry setting, with a strong focus on object detection, segmentation, or image classification applications. • Ideal: 6+ years of experience, with demonstrable success in developing computer vision solutions, and delivering tangible business value. • Computer Vision models and architectures. • Experience with CNNs (ResNet, EfficientNet, MobileNet), Vision Transformers (ViT, Swin), object detection models (YOLO, Faster R-CNN, DETR), and segmentation models (U-Net, Mask R-CNN, SAM). • Use cases: object detection, image classification, semantic/instance segmentation, visual quality inspection, OCR, video understanding, etc. • Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow, or simil

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us The role of the Research Scientist / Research Engineer will be to develop state‑of‑the‑art methods for AI generative media models, with a primary focus on video and audio generation. At Google DeepMind, we've built a unique culture and work environment where long‑term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general‑purpose learning algorithms. We have already made a number of high‑profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year! The Role Research Scientists and Research Engineers at Google DeepMind lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the world's leading academic and industrial labs, PhDs, post‑docs, or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They are expected to drive independent research initiatives, work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI. Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research. Key responsibilities • Design, rapidly implement, and rigorously evaluate cutting‑edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on video and audio synthesis. • Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing. • Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions. • Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. About You In order to set you up for success as a Research Scientist / Engineer at Google DeepMind, we look for the following skills and experience. Qualifications • PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience. • Proven experience in deep learning research and development, particularly in generative AI and related to video and audio synthesis. This includes diffusion models and autoregressive generative models. • Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high‑quality research prototypes and systems. • Strong publication record at top‑tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV). Additional Advantages • Demonstrated experience in large‑scale training of multimodal generative models. • A keen eye for visual aesthetics and detail, coupled with a passion for creating high‑quality, visually compelling generative content. • A real passion for AI! At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. How to Apply Interested in this position? Please submit your resume and cover letter through the application portal. Appian Communications Inc McLean, Virginia

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 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

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At EY, we are dedicated to creating a future filled with opportunities and innovations. Join our dynamic team to elevate your career in a global environment rich with diversity and collaboration. We are committed to building a better working world. We specialize in business intelligence and digital analytics, combining tailored strategies in customer analytics, data visualization, and optimization. As pioneers in machine learning and artificial intelligence, especially in generative AI, we empower our clients to leverage advanced technologies securely and effectively. Our methods are grounded in best practices and extensive business insight, ensuring exceptional execution and client satisfaction. The Opportunity We invite you to apply for the role of Principal AI Solutions Architect, where you will lead the charge in AI innovations and strategic implementations within the Technology, Media, and Telecommunications (TMT) sector. The ideal candidate will have deep expertise in AI and machine learning, a proven track record of delivering transformative AI solutions, and a passion for using AI to drive significant outcomes for clients. This vibrant sector offers extensive opportunities for skill enhancement and career progression. Your Key Responsibilities • Design and architect complex, multi-layered AI systems that are scalable, robust, and customized to achieve transformative results in the TMT industry. • Lead the technical design and deployment of enterprise-level AI solutions, utilizing cloud-native architectures for improved data management and analytics. • Conduct in-depth technical sessions to identify detailed AI requirements, translating them into actionable execution plans with defined success metrics. • Create AI governance frameworks to address ethical considerations, ensure compliance, and enforce strong security measures in solution designs. • Apply advanced AI methodologies, including computer vision and Generative AI/Natural Language Processing, to drive tangible enhancements in client operations. • Translate complex analytical insights into actionable strategies for C-suite stakeholders using sophisticated data visualization techniques. • Mentor AI Engineers and Data Scientists, promoting best practices in software engineering, algorithm optimization, and systems integration. • Stay ahead of emerging AI technologies and methodologies, ensuring our service offerings remain competitive. • Serve as a technical authority on data architecture, championing modern data technologies for managing high-volume, fast-paced data ecosystems. • Execute AI projects meticulously, ensuring alignment with specifications, deadlines, and quality standards. • Maintain an expert understanding of industry trends and technological advancements to improve strategic solution architecture. • Foster a culture of technical excellence and teamwork within AI project teams. • Drive business development initiatives and cultivate long-term client relationships through impactful AI-driven solutions. To qualify for the role, you must have: General and Technical Experience • 8-10 years of experience in industry or technology consulting. • In-depth knowledge of AI fields, including machine learning, deep learning, Natural Language Processing, and computer vision. • Ability to design end-to-end AI solutions from data collection and processing to model development, deployment, and monitoring. • Exceptional proficiency in advanced Python programming for AI applications. • Hands-on experience with stable and evolving AI frameworks and design patterns. • Demonstrated history of deploying AI models in production settings. • Proven ability to lead teams in the design, testing, deployment, and refinement of AI models, incorporating MLOps and AIOps practices. • Practical understanding of AI governance principles and their implementation within AI pipelines. • Outstanding leadership, communication, and project management skills. • Willingness to travel to meet client requirements. Industry Experience • Extensive background in the telecommunications sector with a solid understanding of industry trends. • Experience with the Telecom customer lifecycle, including marketing, acquisition, onboarding, billing, and customer care. • Familiarity with Telecom network management, covering installation, maintenance, repairs, data collection, and network optimization. • Knowledge of customer segmentation, churn prediction, and recommendation systems specific to media and telecommunications. • Understanding of revenue assurance, data, systems, and processes. • Awareness of regulatory and compliance considerations relevant to the TMT sector. • Experience with OSS/BSS systems, including implementation, enhancement, maintenance, and support. • Familiarity with telecommunications protocols like 5G and LTE and their data science implications. • Proven ability to design and implement machine learning solutions to enhance network performance and customer

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

Overview We are looking for a product marketing leader to champion the adoption and success of our AI + Human Intelligence (AI+HI) initiatives. This individual will possess an outstanding ability to analyze problems and apply quantitative and analytical approaches toward trajectory-changing service and solutions. Strong strategic skills, seamless cross-functional partnerships, customer empathy, a bias for speed, and executive-level influence skills will be essential. This leader will operate in strong partnerships with Analytics, Product Management, Service Delivery, and Finance. To be successful, you will bring a mix of strategic vision, communication skills, collaborative mindset, go-to-market experience, and a customer-centric orientation within a cross-functional, dynamic organization that moves with velocity. Responsibilities • Leverage advanced market and competitive intelligence and data to deeply understand customer behaviors and market needs to proactively define function-wide strategies to capitalize on AI+HI growth opportunities with strategic and executional excellence. • Develop a deep understanding of AI+HI offerings and value equations to influence product and service delivery roadmaps, pricing, and entitlements, to create compelling customer experiences that deliver distinct advantages in the market. • Translate segment and marketplace needs into strategic product marketing plans to drive both acquisition and retention of users. • Leverage the appropriate learning strategies, including qualitative and quantitative research and A/B testing to roll-out experiences that deliver improved business outcomes. • Establish metrics for success and actively analyze business data to generate insights and make informed decisions that drive business results. • Craft comprehensive and engaging narratives and messaging hierarchies that are customer and research-backed. • Lead with operational rigor through the development of principle-based prioritization across an array of AI+HI offerings and initiatives. Qualifications • 10+ years professional experience in product marketing • Bachelor’s degree required. MBA or equivalent experience preferred. • Deep knowledge or experience with AI and human expert services is highly preferred. • Experience influencing senior leaders and cross-functional stakeholders with data-backed visions to drive alignment and buy-in. • Exceptional written and verbal skills to communicate objectives, recommendations, and results to senior leaders. • Demonstrated high levels of ownership, responsibility, initiative and the desire to drive significant, measurable performance results. • Proven success in turning deep customer understanding into insightful market strategy and execution that drives business results. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Northern California (Mountain View): $197,000 - $266,500 Southern California: $183,000 - $247,500

Job Description Are you passionate about driving innovation in the AI landscape? We invite you to join our team as a Senior Product Manager, where you will play a critical role in shaping product strategy and accelerating revenue growth for our cutting-edge Agentic AI workloads. This is a crucial position within our AI Data Platform product line, allowing you to lead solution development while ensuring commercial success. Your unique blend of technical expertise and business insight will help transform complex data platform and AI challenges into valuable solutions. You will also have the opportunity to build strategic partnerships with our enterprise customers. Key Responsibilities Revenue Generation & Strategy • Create an extensive library of use cases for Agentic AI and design impactful sales and engineering enablement programs that resonate with prospective clients. • Devise and execute scalable initiatives that enhance revenue, including effective go-to-market strategies, customer engagement events, proof-of-concept trials, and pilot programs. • Work collaboratively with sales leadership to identify and capitalize on high-value opportunities within targeted market segments. Technical Leadership & Expertise • Act as the key product authority and technical leader on Agentic AI patterns for our field sales teams and engineering group. • Produce thorough technical resources, including reference architectures, solution demonstrations, and customer design patterns. • Facilitate technical discovery sessions and solution design workshops with current and prospective customers. Customer Relationship Management • Engage in detailed technical discussions with data engineers and scientists to identify their needs and deliver customized solutions. • Champion the AI Data Platform at both virtual and in-person engineering forums, increasing awareness and understanding. Solution Architecture & Positioning • Convert complex product capabilities into clear, value-centered propositions tailored for diverse stakeholders like data engineers, data scientists, analysts, and business executives. • Craft targeted, industry-specific positioning and use cases across multiple sectors to amplify product attractiveness. • Partner with the product management team to influence roadmap priorities by incorporating customer feedback and market insights. This role plays a vital part in driving the success of our AI Data Platform. Join us in shaping the future of technology! Compensation Information US: Hiring Range in USD from: $115,400 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle offers a comprehensive benefits package, including medical, dental, vision insurance, short and long-term disability, 401(k) with company match, and a flexible vacation policy. For a detailed list of benefits, please see our benefits package. This role will accept applications for a minimum of three calendar days from the posting date or until the position is filled. About Oracle As a leader in cloud solutions, Oracle utilizes innovative technology to address contemporary challenges. We are committed to fostering an inclusive workforce and providing opportunities for all. With over 40 years of experience, we pride ourselves on innovation and community involvement. Join Oracle and be part of a culture that values collaboration and growth. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans' status.

Senior Data Scientist / Machine Learning (ML) Engineer TechTrend is seeking a talented Senior Data Scientist / ML Engineer to join our team. Project staff will design, develop, and deploy an optimized AI-enabled data collection model integrated with AI by Anybody Lakehouse on an Azure integrated cloud platform. While leveraging our client’s established AI and data governance framework, the team will implement data Findability, Accessibility, Interoperability, and Reusability (FAIR) metadata standards and build automated pipelines, reproducible ML workflows, and tiered data access. This is an opportunity to implement leading AI technologies and be a member of an environment that thrives on innovation and the ideas of all members of the team. Our corporate culture is built on collaboration, and we strive to provide our employees with opportunities to continue building your skills through training and project diversity. Duties and Responsibilities • Develop predictive models for survey optimization • Perform feature engineering and algorithm tuning • Validate models through A/B testing • Ensure reproducibility and FAIR compliance Experience Requirements • Minimum of 10 years’ experience working on data modeling, data architecture, and data science projects • Minimum 5 years in AI/ML model development and deployment • Experience with Azure platform and related services such as Databricks • Experience with supervised learning, feature engineering, and algorithm optimization • Hands-on experience with Lakehouse architecture and cloud platforms (Azure preferred) Technical Skills • Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Ability to design reproducible pipelines and ensure compliance with FAIR principles • Strong understanding of data governance and bias detection Education Requirements Required certification in a data science field (CAP, Azure Data Scientist, etc.) Job Location Hybrid, once a week in Reston office-Must live within commutable distance to Reston, VA Benefits • Medical, Dental and Vision Insurance • Life, Short and Long-term Disability Insurance • PTO & federal holidays off • 401(k) Plan (matching component included) • Free Gym Access at Headquarters TechTrend, Inc. is a Small Business providing IT products and services to both the government and commercial markets. We were founded in 2003 and continue to evolve as a leading provider of enterprise-wide services and technology solutions. TechTrend is a noted and trusted partner to our clients who seek our knowledge and guidance for their most critical and complex IT projects. TechTrend's mission is to provide comprehensive, enterprise-wide IT solutions to our clients' complex challenges. We serve as a liaison for positive organizational change by forming relationships and building bridges across functions, gaining buy-in from both leaders and end-users, and removing barriers to mission success. Our established processes ensure quality delivery of results by maximizing efficiency, productivity, and client satisfaction enterprise wide.

Position: Senior Data Scientist (AI/ML/GenAI Specialist) Washington D.C. / New York (updated February 25,[...] Senior Data Scientist (AI/ML/GenAI Specialist) Washington D.C. / New York About Vantage Score At Vantage Score we drive impact for good on a massive scale impacting tens of millions of people across the United States. Our mission is to be the leading credit modeling company delivering the most predictive, most innovative, and most inclusive tri‑bureau models and attributes in the US market. Our innovation is increasing access for millions more Americans to financial products and home ownership. Our models are among, if not the most, inclusive in the United States and power billions of credit scores a year. We are fueled by a growing, exceptionally talented team and are actively seeking individuals who can join us in driving us toward our ambitious goals. At Vantage Score, you’ll have the unique opportunity to work within a fast‑paced, independent start‑up culture while enjoying the financial stability that comes from being backed by the three leading US credit bureaus. Vantage Score® consumer credit scoring models combine the need for both financial inclusion and dependable predictiveness across all scoring ranges. An industry thought leader and technology innovation leader, the company’s most recent models score approximately 94 percent of all adults 18 and older - including 33 million more people than conventional models - without sacrificing safety and soundness. As a result, lenders using Vantage Score can extend credit to those who have been historically marginalized, including minority and lower‑to‑middle‑income Americans. Vantage Score credit scores are used by over 3,700 banks, fintechs and other companies use Vantage Score credit scores every day to assess consumer creditworthiness. Last year, over 42 billion Vantage Score credit scores were used representing a 55% yearly increase. All 10 US banks use Vantage Score credit scores or digital tools in one or more line of business. Starting in 2025 the FHFA has required Vantage Score credit scores to be used for all mortgages sold to, or guaranteed by, Fannie Mae and Freddie Mac. Get started using Vantage Score credit scores today - we are the leader in predictive power and financial inclusion. About The Role We are seeking a highly motivated and innovative Senior Data Scientist (AI/ML) to join our brilliant team of analytics professionals and developers, supporting the cutting‑edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions. In this role, you will be essential to credit score model innovation, credit and open banking related research initiatives, pilot program analyses with lenders and fintech partners, and ongoing model monitoring and reporting processes. You’ll bring your expertise in AI/ML and GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights. You’ll partner cross‑functionally to deliver scalable AI‑powered products and solutions that redefine how consumers engage with credit - ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion. Key Responsibilities • Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development. • Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models. • Serve as the team’s expert on GenAI/LLMs, adapting and fine‑tuning models and ensuring explainability and compliance. • Drive pilot program analyses, including back‑testing, rejection inference, and performance analyses using diverse data sets. • Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders. • Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes. • Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state‑of‑the‑art methods, tools, and best…

Location: Laurel A leading software development company in Laurel, Maryland, is searching for a Software Engineer to enhance developer productivity through advanced tooling and automation. The role involves designing AI-assisted IDE features and integrating agent-based systems for repetitive tasks. Candidates should have strong programming skills and hold a B.S. in a technical field with at least 8 years of experience. An active TS/SCI clearance is mandatory. This position offers a competitive salary between $200,000 and $220,000, alongside potential bonuses for referrals. #J-18808-Ljbffr

Standard Title: Required Security Clearance: Top Secret/SCI with Full Scope Polygraph City: Annapolis Junction State/Territory: Maryland Travel: None Potential for Teleworking: No Schedule: Full Time DoD 8570 IAT Requirement: None DoD 8570 IAM Requirement: None DoD 8570 IASAE Requirement: None DoD CSSP Requirement: None Last Updated: 2/12/26 8:30 PM Requisition ID: 531600 US Citizenship Required?: Yes Pay Range: $158,597.15 to $211,462.87 Work Type: On-Site Referral Eligibility: Eligible Job Description Base-2 Solutions is seeking an AI/ML Engineer who designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Required Skills • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. • Select appropriate data sets. • Perform statistical analysis. • Run machine learning algorithms. • Use results to improve models. • Train and retrain systems when needed. • Experience in working with various ML libraries and packages. • Run standard test and evaluation protocols. • Provide system integration oversight. • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements. • Research and implement a broad range of AI and ML algorithms and tools. • Design or Select appropriate data and knowledge representation methods. • Recognize software architecture, data modelling, and data structures. • Transform and convert data science prototypes into scalable solutions. • Verify data and model output quality. • Identify differences in data distribution that affect model performance. Qualifications • Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. • Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Desired Skills • Expert knowledge with multiple programming languages, including: • Python • Java • R Pay & Benefit Highlights Compensation • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). • Employee referral bonuses up to $10,000 per hired referral. • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health • 100% company-paid medical premiums for employees and eligible dependents. • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. • 100% company-paid dental premiums for employees and eligible dependents. • 100% company-paid vision premiums for employees and eligible dependents. Income Protection • 100% company-paid premiums for short-term disability. • 100% company-paid premiums for long-term disability. • 100% company-paid premiums for accidental death & dismemberment (AD&D). • 100% company-paid premiums for life insurance up to $200,000. Retirement • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). • 401(k) pre-tax and Roth options. Leave • Up to 20 days of flexible paid time off (PTO). • 11 paid floating holidays. Work-Life Balance • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). Equal Opportunity Employer Base-2 Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Find Ai Ml Research Scientist positions in Annapolis Junction, Maryland, United States. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

Senior Associate, 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 Commercial Bank Data Science Applied AI team is at the forefront of enabling Generative AI capabilities within the Commercial Bank. We focus on cutting-edge techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning. The ideal candidate will be deeply passionate about Generative AI and possess prior experience in AI from either a professional or academic background. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation • Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: • 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. • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. • Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. • A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. 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 2 years of experience performing data analytics • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) • Experience working with AWS • At least 2 years’ experience in Python, Scala, or R • At least 2 years’ experience with machine learning • At least 2 years’ experience with SQL • Prior experience in AI, information retrieval, or NLP Capital One will consider sponsoring a new qualified 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: $135,600 - $154,800 for Sr Assoc, Data Science 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 discretio

The application window will be open until at least March 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Boulder, CO, USA. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). • 1 year of experience with Computer Vision (e.g., image classification and processing, object detection, visual search), video generation, or signal processing. Preferred qualifications: • Master's degree or PhD in Computer Science or a related technical field. • 2 years of experience with data structures and algorithms. • Experience developing accessible technologies. • Experience developing multimodal machine learning systems and optimizing performance using C++ and LLVM, with proficiency in JAX-RS for service-level integration. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Map Geometry team is at the forefront of Artificial Intelligence automation for the creation and maintenance of the world's map geometry. In this role, you will leverage Generative Artificial Intelligence techniques to automate the extraction and refinement of map features from data sources like aerial and satellite imagery. This work directly impacts core Google products such as Navigation and Auto alongside a growing number of internal generative AI initiatives. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world. The US base salary range for this full-time position is $141,000-$202,000 + 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, develop, train, evaluate, and deploy machine learning models for geospatial feature extraction and analysis. • Analyze and experiment with different ML techniques and architectures to improve model performance, robustness, and efficiency. • Collaborate with client engineers, researchers (e.g., GDM, Google Research), and product managers to define requirements, develop solutions, and land models and automated map edits into production systems. • Contribute to the full model development lifecycle, including data preparation, training, validation, deployment, and monitoring. • Stay up-to-date with the latest advancements in machine learning and computer vision. 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 Veter

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: • Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc. • Deploy, maintain, and optimize ML models and data processes in a production environment  • Develop custom Computer Vision (CV) algorithms that translate into mission value • Create tools to provide feedback from production ML models and data processes  • Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow). • Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking • Stay up to date with the latest research and advancements in the field of computer vision and deep learning • Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets • Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency • Assist in the integration of computer vision algorithms into production systems and applications • Document code, methodologies, and experimental results Here's what you need: • Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow) • Proficiency with programming languages such as Python, C/C++ or Rust • Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks • Strong analytical and problem-solving skills • Ability to work collaboratively in a team environment and take direction from senior team members • Hands-on experience with developing computer vision models at scale from inception to business impact • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches • U.S. Citizenship (No Dual citizenship) Bonus points if you have:  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required  • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP • Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment  • Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar) Security Clearance: • Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $108,400—$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is gr

Job Number: R0234795 AI Security Solutions Architect The Opportunity: As a Secure AI Architect, you’ll be responsible for designing and implementing secure architectures for artificial intelligence and machine learning (AI/ML) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks. You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives. Join us. The world can’t wait. You Have: • 8+ years of experience in cybersecurity, systems architecture, or software engineering, including AI/ML solution design • 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions • 3+ years of experience designing, deploying, and securing AI/ML pipelines, including model training, inference, and monitoring • Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow • Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management • Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics • Knowledge of AI governance frameworks and DoD Responsible AI principles • Secret clearance • HS diploma or GED • DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification Nice If You Have: • Experience operating in IL5, IL6, or IL7 environments • Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response • Experience securing large language models, RAG architectures, or agentic AI systems • Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring • Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion • Experience with data governance for AI training data in multi-classification or coalition environments • Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering 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 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. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qu

About the Company Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. • Company Type: Publicly traded • Product: AI-centric GPU cloud platform & infrastructure for training AI models • Candidate Location: Remote anywhere in the US Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers. What You'll Do • Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements • Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices • Collaborate with clients to understand their business requirements and develop solution architectures • Design and document Infrastructure as Code solutions, technical documentation, and how-tos • Help customers optimize pipeline performance and scalability • Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams • Assist with marketing efforts during events such as hackathons, conferences, and webinars What You Bring • 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing • Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python • Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) • Solid understanding of the cloud ML tools landscape from industry leaders • Legal authorization to work in the U.S. on a full-time basis without visa sponsorship Key Attributes for Success • Self-starter who thrives in a fast-paced, evolving startup environment • Collaborative team player who can work effectively across different departments and cultures • Results-oriented with a strong sense of ownership and accountability • Innovative problem-solver who can identify new opportunities for growth • Continuous learner, eager to stay updated on the latest AI and cloud computing trends • High ethical standards and integrity, with a commitment to responsible AI development • Passionate about democratizing access to AI infrastructure Why Join? • Competitive compensation ranging from $225,000 to $315,000 per year (negotiable based on experience and location) • Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families • 401(k) plan with a 4% match program • Stock options plan • Flexible remote work environment • 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers • Up to $85/month for mobile and internet • Opportunity to work with cutting-edge AI and cloud technologies • Contribute to sustainable AI infrastructure with energy-efficient data centers • Be part of a team that operates one of the most powerful commercially available supercomputers Interviewing Process • Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A) • Level 2: Virtual interview with the Hiring Manager (Skills assessment) • Level 3: Interview with the C-level (Final round) • Reference and Background Checks: Conducted post-interviews • Offer: Extended to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Description Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. 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 (ML), 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 deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and Performance Evaluation frameworks. You should have experience architecting end to end ML/Gen AI applications for customers using AWS services and Well Architected Framework. Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation. Travel up to 50% may be possible. Key job responsibilities • Customer Advisor- Implement, and deploy state of the art machine learning solutins under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers. • Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. • Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements. • Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback. • Develop and support an AWS internal community of GenAI related subject matter experts worldwide. Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures. About The Team Diverse Experiences AWS values diverse experiences. Even if

We Are In a groundbreaking era where Data & AI are transforming industries and society, our team at Accenture is at the forefront with a robust vision supported by a $3B investment in Data & AI. With a global workforce of over 45,000 AI professionals, we are driving innovation powered by extensive expertise and strong partnerships, delivering industry-defining solutions. You Are: As a Senior AI Solution Architect, you will take charge of designing and delivering comprehensive AI architecture for platforms, products, or engagements across diverse cloud environments—public, private, or sovereign clouds. Your role involves creating enterprise-grade AI solutions that prioritize scalability, security, governance, and performance to effectively meet our clients' business objectives. You'll utilize cutting-edge innovations in AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering. This is a high-impact position that allows you to demonstrate AI technologies for solving complex business challenges and ensuring enterprise readiness. The Work Strategy & Planning • Facilitate AI architecture and technical design workshops with clients and internal teams. • Collaborate with client teams to finalize architectural requirements for AI solutions. • Assess, rationalize, and choose the technologies necessary for developing a complete AI platform or system. • Estimate design alternatives, required efforts, timelines, and roadmaps for deploying AI solutions. • Create Total Cost of Ownership (TCO) models and evaluate the financial feasibility of AI platforms and solutions. Architecture & Design • Document and design architectural alternatives, technology choices, and recommendations. • Identify and facilitate agreement on key architectural decisions for AI solutions. • Create and document multi-agent architecture blueprints and various AI solution architecture blueprints. • Establish knowledge architectures, including knowledge graphs and semantic layers to empower AI Agents. • Integrate AI security within all platforms and solutions. • Develop and document solutions for AI security, governance, and observability. • Design and document operations solutions for AI agents and large language models (LLMs). • Recommend optimizations for performance, cost, and trust. Implementation • Implement AgentOps / LLMOps, AI Governance, AI Security, and AI Observability solutions. • Create reusable AI components and agents for advanced AI systems and platforms. • Diagnose, analyze, and enhance the performance of AI systems and agents. Note: Travel may be required for this role, with varying amounts based on business needs and client requirements. Here's what you need: • A minimum of 2 years experience in designing and implementing scalable Agentic AI and Generative AI solutions currently in operation. • At least 2 years of experience in designing and implementing Agentic AI and Generative AI platforms used by multiple solutions. • A minimum of 5 years experience engineering and operationalizing large-scale AI/ML solutions on at least one major public cloud platform. • Expert-level understanding of key AI technologies from public cloud providers and open-source tools. • A Bachelor's degree or equivalent experience (12 years); an Associate's degree requires 6 years of experience. Accenture's compensation varies based on factors such as office location, skill set, and experience level. We anticipate this job posting to be available on 01/24/2026 for at least 3 days. Accenture provides a competitive benefits package, including medical, dental, vision, life and long-term disability coverage, a 401(k) plan, bonuses, paid holidays, and time off. For more information on our benefits, visit our website. Role Location Annual Salary Range: • California: $94,400 to $293,800 • Cleveland: $87,400 to $235,000 • Colorado: $94,400 to $253,800 • District of Columbia: $100,500 to $270,300 • Illinois: $87,400 to $253,800 • Maryland: $94,400 to $253,800 • Massachusetts: $94,400 to $270,300 • Minnesota: $94,400 to $253,800 • New York: $87,400 to $293,800 • New Jersey: $100,500 to $293,800 • Washington: $100,500 to $270,300 Accenture is committed to providing equal employment opportunities for all individuals. Accenture adheres to a policy of non-discrimination regardless of various characteristics, believing that diversity fosters innovation and creativity. For details, review the Equal Employment Opportunity Statement on our website. Accenture is an EEO and Affirmative Action Employer of Veterans and Individuals with Disabilities, also committed to providing veteran employment opportunities. Applicants in the US must have work authorization that doesn’t require future visa sponsorship. Candidates currently employed by a client of Accenture may not be eligible for consideration. Accenture encourages transparency about pay and does not discriminate based on inquiries regarding compensation. If you have accommodation needs, p

The AI Solutions Architect is responsible for partnering with business units across the organization to identify operational bottlenecks, evaluate automation and AI opportunities, and architect solutions that drive measurable efficiency gains across multiple service lines. This role combines deep technical expertise in AI, data engineering, and platform architecture with strong business acumen and stakeholder engagement skills. The AI Solutions Architect works closely with business unit leaders, engineering teams, and executive stakeholders to evaluate build vs. buy decisions, ensure cross-functional alignment, and deliver scalable solutions that serve multiple teams rather than siloed, one-off implementations. Key Responsibilities Business Unit Partnership and Solutioning • Meet regularly with business unit leaders to understand operational pain points, inefficiencies, and automation opportunities • Translate business problems into technical solution designs that leverage AI, automation, and modern platform capabilities • Facilitate cross-functional alignment to ensure solutions serve multiple business units and avoid duplicative efforts. AI and Automation Strategy • Evaluate and recommend AI/ML tools, platforms, and frameworks that align with enterprise objectives and security requirements • Develop and maintain a solutions roadmap that ties automation initiatives to measurable business outcomes such as efficiency gains and EBITDA impact • Stay current on emerging AI capabilities and assess their applicability to organizational challenges. Architecture and Platform Design • Design scalable, secure architectures for AI and automation solutions across cloud and hybrid environments • Define technical standards, integration patterns, and data pipeline architectures that support repeatable, cross-functional solution delivery • Ensure all solutions align with enterprise security posture, regulatory obligations, and compliance frameworks including CMMC, NIST, and DFARS. Build vs. Buy Evaluation • Lead objective assessments of commercial platforms versus custom-built solutions, considering cost, scalability, security, and long-term maintainability • Develop business cases and technical recommendations for executive review • Manage vendor evaluation processes and proof-of-concept efforts where applicable. Data Strategy and Engineering • Oversee data infrastructure design, including pipelines, storage, and integration layers that support AI and automation workloads • Ensure data quality, governance, and accessibility standards are maintained across solutions • Partner with engineering teams to implement and optimize data flows that feed AI models and automation tools. Security and Compliance Integration • Ensure all AI and automation solutions are designed with security-first principles, including secure data handling, access controls, and threat modeling • Evaluate the security posture of third-party AI platforms and tools prior to adoption, ensuring alignment with organizational security standards • Collaborate with cloud security and compliance teams to ensure solutions meet CMMC, NIST SP 800 series, DFARS, ITAR, and other applicable regulatory requirements • Define and enforce security guardrails for AI model deployment, data ingestion, and API integrations across all solution architectures • Support internal and external security assessments by providing architectural documentation and evidence of control implementation. Stakeholder Engagement and Reporting • Provide regular updates to executive leadership on solution progress, business impact, and roadmap status • Document solution designs, architectural decisions, and technical standards for organizational transparency and audit readiness • Champion a culture of AI adoption and operational efficiency across the organization Qualifications US Citizenship Required Must possess, and be able to maintain a Secret Clearance. Minimum Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline. • A minimum of five years of progressive experience in solutions architecture, data engineering, AI/ML engineering, or a combination of related technical disciplines. • Demonstrated experience designing and delivering AI or automation solutions in enterprise environments. • Proven ability to engage with non-technical business stakeholders, translate operational challenges into technical solutions, and drive cross-functional alignment. • Strong experience with cloud platforms (Azure, AWS, or GCP), data pipeline technologies, and modern AI/ML frameworks. • Experience operating in regulated environments with familiarity with compliance frameworks such as CMMC, NIST SP 800 series, DFARS, or equivalent. Preferred Qualifications • Eight or more years of experience across solutions architecture, data engineering, and AI/ML. • Experience in the government contracting or defense sector. • Hands-on experience with large language

Job Number: R0234795 AI Security Solutions Architect The Opportunity: As a Secure AI Architect, you'll be responsible for designing and implementing secure architectures for artifi cia l intelligence and machine learning ( AI / ML ) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks. You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives. Join us. The world can't wait. You Have: • 8+ years of experience in cybersecurity, systems architecture, or sof tware engineering, including AI / ML solution design • 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions • 3+ years of experience designing, deploying, and securing AI / ML pipelines, including model training, inference, and monitoring • Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow • Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management • Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics • Knowledge of AI governance frameworks and DoD Responsible AI principles • Secret clearance • HS diploma or GED • DoD 8140 Certification such as Security+, CISSP, CASP+, CCSP Certification Nice If You Have: • Experience operating in IL5, IL6, or IL7 environments • Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response • Experience securing large language models, RAG architectures, or agentic AI systems • Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring • Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion • Experience with data governance for AI training data in multi-classification or coalition environments • Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering 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 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. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimina

About Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges. About You: You’re a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment—designing systems that can see, understand, and interact with the physical world. You’re comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab. Responsibilities: • Develop and implement object detection and identification algorithms for real-time applications. • Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors. • Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware. • Develop tools and processes for camera calibration, synchronization, and data acquisition. • Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems. • Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. • Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field. • Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM). • Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration). • Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs). • Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA). • Experience developing in C++ and/or Python for high-performance vision applications. • Strong understanding of camera hardware and imaging pipelines. • Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment. Nice to Haves: • Experience with ROS/ROS2 integration for robotic vision. • Familiarity with real-time embedded systems or GPU optimization. • Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception. • Background in calibration automation and large-scale data collection pipelines. This position is based on-site at Merlin HQ in Boston, MA. Once you’re here, you’ll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed. Our goal is to create an environment where you can thrive both professionally and personally Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission. Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: people@merlinlabs.com Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

We are building a real-time AI system that tracks basketball players and teams using mobile phone video, generating live game statistics without on-site statisticians. This project focuses on computer vision and machine learning applied to real-world basketball footage (handheld phones, varying angles, indoor courts). The system will detect and track multiple players (5v5, 3x3, 1v1), separate teams by jersey color, and output structured tracking data that can power livestream overlays and performance dashboards. This is a production sports-tech project, not academic research. We are looking for an experienced ML / Computer Vision freelancer who has worked on real-time video, multi-object tracking, and noisy environments. There is strong potential for long-term collaboration if Phase 1 is successful.

Project Context CrackCoach is an AI platform for automatic analysis of show-jumping videos. This role builds the IMAGE-level perception and geometry stack that everything depends on: detection, tracking, obstacle understanding, jump segmentation, and metric calibration in real-world competition footage. Without a rock-solid perception and geometric foundation, pose estimation, biomechanics, and AI coaching are not reliable. ⸻ Core Mission and Responsibilities You will design, implement, and validate a production-grade computer vision pipeline capable of ingesting raw competition videos and producing robust, structured, and metric-aware outputs. Your responsibilities include: • Video ingestion and preprocessing: handle codecs, resolutions, FPS, orientation, stabilization, and cropping policies. • Horse-and-rider detection using state-of-the-art detectors (YOLO / RT-DETR / Detectron2 or equivalent). • Persistent tracking across frames (ByteTrack, BoT-SORT, DeepSORT, Kalman-based trackers). • Obstacle detection and scene understanding for show-jumping arenas (rails, poles, standards). • Obstacle-to-jump association logic: correctly identify which obstacle is being jumped and when. • Automatic segmentation of a full round video into individual jump clips (per-obstacle segments). • 2D trajectory reconstruction of the horse in image space with stable, low-jitter trajectories. 2D Metric Calibration (Image → Ground Plane) In addition to perception, this role includes implementing a robust 2D metric calibration module: • Estimate a ground-plane homography (image → ground) using stable scene references such as obstacle bases or other ground contact points. • Compute a pixel-to-meter scale, ideally leveraging known or user-declared obstacle heights (e.g. “course at 1.35m”) when available. • Project horse trajectories from image space to ground-plane coordinates in meters. • Enable metric estimates such as: • approach speed (m/s) • distances between obstacles (m) • take-off and landing distances at ground level (m) • approximate stride length at ground level (when combined later with biomechanics) • Provide a calibration confidence indicator and gracefully fall back to relative (pixel-based) measures when calibration is unreliable. The calibration module must be robust, non-blocking, and designed for real-world competition footage (single camera, uncontrolled viewpoints). ⸻ Required Technical Skills • Strong background in computer vision applied to video (sports footage experience is a strong plus). • Proven experience with object detection (YOLO family, Detectron2, RT-DETR, etc.). • Multi-object tracking expertise (ByteTrack / BoT-SORT / DeepSORT; handling occlusions and ID switches). • Experience with segmentation models (Mask R-CNN, YOLO-Seg, SAM-family) if needed for background removal. • Solid understanding of image-space geometry and camera perspective limitations. • Experience implementing 2D metric calibration using planar homography and RANSAC. • Comfortable working with pixel-to-meter conversions and expressing metric uncertainty. • Advanced Python and OpenCV; deep learning framework (PyTorch preferred). • Experience building modular, maintainable pipelines with clear interfaces and exports. ⸻ Key Technical Challenges • Highly variable camera angles, zoom levels, and lighting conditions. • Dynamic occlusions from obstacles, rails, other horses, and spectators. • Motion blur and compression artifacts in user-generated videos. • Background clutter and false positives (banners, rails, similar shapes). • Maintaining stable trajectories despite noisy detections and temporary misses. • Correct obstacle differentiation and obstacle association in multi-obstacle scenes. • Metric calibration with a single camera, limited scene control, and partial reference data. • Performance constraints: processing HD videos in minutes, not hours. ⸻ Expected Deliverables • A fully modular computer vision pipeline (source code) that ingests raw video and outputs: • detections • tracks • obstacle detections • jump segments • 2D trajectories • ground-plane metric projections (when calibration is reliable) • A 2D calibration module producing pixel-to-meter scale, ground-plane mapping, and confidence scores. • Trained detection/segmentation models (weights + training scripts) when custom training is required. • Clean data exports (JSON / CSV) and stable ROI frame exports for pose estimation and biomechanics. • Visual validation outputs (overlays showing boxes, tracks, obstacles, jump boundaries, and metric projections). • Clear technical documentation defining interfaces and data formats for downstream pose estimation, biomechanics, and AI coaching stages. ⸻ Important Notes • This role does NOT include pose estimation or biomechanics (handled by separate specialists). • Metric calibration is 2D ground-plane based, not full 3D reconstruction. • Robustness and graceful degra

About the position Qualcomm’s Computer Vision Systems team is building the intelligence behind the world’s most advanced Snapdragon‑powered devices, from next‑generation mobile phones to autonomous vehicles, IoT, robotics, and immersive AR/VR platforms. The group’s work spans computer vision and video algorithm development, mapping these algorithms to computer vision and neural‑processing accelerator architectures, and efficient on‑device implementation. We are seeking a Staff‑level, multidisciplinary engineer with deep expertise in computer vision and image/video processing algorithms, combined with strong hardware/software co‑optimization experience. This role is ideal for someone who thrives at the intersection of cutting‑edge computer vision algorithms, AI models, and efficient hardware/software implementation applied to real‑world problems. You will own technical direction across projects, influence system‑level architecture, and drive solutions from research through production deployment. You will work on ideas that enhance everyday life—creating lasting video memories and playback experiences, and enabling innovative devices through advanced video and computer vision technologies. You will have significant opportunities to grow, lead, and shape the future of video and computer vision at scale. Responsibilities • Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder, processing, quality enhancement, and real‑time computer vision pipelines, from concept through production deployment. • Lead system‑ and algorithm‑level architecture definition, standard studies, and feature decomposition to drive hardware and software requirements and specifications. • Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms. • Collaborate closely with cross‑functional teams (hardware, software, systems, and product) and with customers to commercialize technologies and deliver best‑in‑class visual analytics experiences. • Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners. • Contribute effectively in a fast‑paced, highly collaborative environment with globally distributed, cross‑functional teams. • Provide technical mentorship and guidance to engineers across experience levels and influence technical decisions beyond the immediate team. Requirements • Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. • OR • Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. • OR • PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. • Strong background in computer vision and video processing algorithms. • Solid understanding of SoC architecture, including compute accelerators, memory hierarchies, and hardware/software interfaces. • Hands‑on experience with modern deep learning architectures. • Strong coding skills in Python and C/C++ for production‑quality development, optimization, and on‑device deployment, with experience using ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. • Strong ability to work across algorithm, software, and hardware boundaries. • Experience with real‑time computer vision systems or embedded AI deployment. • Experience using performance profiling tools and hardware simulators. • Works independently with minimal supervision. • Provides technical leadership, supervision, and guidance to other team members. • Decision‑making impacts work beyond the immediate work group. • Requires strong verbal and written communication skills; may require negotiation, influence, and tact. • Has significant technical influence over key product, architecture, and organizational decisions. • Tasks require multi‑step planning, prioritization, and problem-solving, with flexibility in execution order to achieve objectives efficiently. Nice-to-haves • Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. • 4+ years of experience developing and implementing computer vision and video algorithms within system‑level products. • 4+ years of experience with system design, system integration, and hardware/software optimization. • 4+ years of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems. • 3+ years of experience working in a large, matrixed organization. • 1+ year of experience interacting with

Find Lead Software Engineer Computer Vision Automation Transportation positions in McLean, VA, US. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

R-00177044 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 a onsite mid-level Software Engineer 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 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: • * Interest in working with emerging technologies and shaping the future of transportation. • A Bachelor’s degree in computer science or engineering with at least 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. • Experience and familiarity with manual memory management in languages like C/C++. • 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. • Interest and motivation to develop software to answer valuable research questions to advance transportation technology. • 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.). • Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics. Preferred Qualifications: • Extensive experience designing, implementing, and maintaining C++, Java, and Python software packages in a Linux environment. • 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 such as SUMO or CARLA, or other simulators built in Unreal or Unity. • Familiarity with existing CDA infrastructure standards and/or hardware such as those from SAE or IEEE. • Experience in a fast-paced dynamic R&D environment. • Experience as software engineering team lead. Anticipated Salary range for this role is $95-$120k If y

It's fun to work in a company where people truly BELIEVE in what they're doing! Job Description Summary: Rocket's Data Modernization Business Unit aids customers in managing, governing, and maximizing the value of their enterprise data assets. Our clientele comprises many Fortune 500 companies, including some of the world's largest banks, insurance companies, and manufacturing organizations. We are currently seeking motivated and innovative individuals to join our applied machine learning team. This is an opportunity to play a crucial role in the continued evolution of our world-class solutions. Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation. They will be responsible for understanding and adapting current research. The position requires a deep understanding of computational linguistics, image processing, and Python programming. The selected candidate will be part of a collaborative team dedicated to building, fine-tuning, and deploying state-of-the-art models to solve real-world problems in information management, data intelligence, content automation, audit, and analytics. This presents an opportunity to create tremendous business value as we assemble a world-class applied machine learning team. Essential Duties and Responsibilities: • Consult with key internal and external stakeholders to understand and frame model requirements and potential applications. • Design, develop, and deploy machine learning models using tools and platforms optimized for distributed machine learning. • Recommend ongoing improvements to methods and algorithms that lead to findings, including new information. • Evaluate the applicability of current research to our problem domain and software solutions. • Collaborate closely with software engineers to integrate the trained models into end-user applications. • Develop sound analytic plans based on available data sources, business partner needs, and required timelines. • Manage deliverables across multiple projects in a deadline-driven environment and projects related to a wide variety of business settings. • Present results, insights, and recommendations to both technical and non-technical stakeholders. Required Qualifications: • 5+ years of industry experience. • Experience in the professional management of junior data scientists within projects and their continuous professional development. • Expertise in Python, Linux, and ML, familiarity with SQL. • Demonstrated ability to find creative and practical solutions to complex problems. • Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources. • Demonstrated ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions. • A quick learner, highly adaptable to the needs of internal collaborators in a dynamic environment. • Efficiency in managing multiple projects. • Excellent communication and interpersonal skills. • Must be comfortable working in a team-oriented environment. Preferred Qualifications: • Master’s degree in Statistics, Computer Science, Mathematics, Economics, or directly related fields. While all the above qualifications are important, we also value candidates who display a strong passion for continued learning, possess a spirit of innovation, and show high adaptability in a fast-paced work environment. Diversity, Inclusion & Equity: At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce. . Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status. As part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process. Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to people@rocketsoftware.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

EXPERIENCE Early Career LOCATION New York FOCUS Systematic Investing BUSINESS Point72 Role/Responsibilities: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: • Exploring and combining rich internal and external textual datasets • Building GenAI solutions, leveraging both internal models and external APIs • Formulating research hypothesis to derive alpha • Post-training models for specific tasks • Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. Requirements: • Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline • Experience in NLP, particularly LLMs. • Proficient in Python, SQL and general software engineering principles (github, testing, etc.) • Data science stack familiarity • Interest in financial markets • Collaborative mindset About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Gen AI / Machine Learning Engineer (NLP Focus) 📍 Location: Washington, DC (Onsite) 🛂 Work Authorization: Must be authorized to work in the U.S. 🔐 Clearance: Ability to obtain Public Trust or higher (if applicable) Role Overview We are seeking a highly skilled Generative AI / Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) to design, develop, and deploy AI-driven solutions. This role will focus on building scalable ML systems, fine-tuning large language models (LLMs), and implementing NLP pipelines that power enterprise applications. The ideal candidate combines strong theoretical ML knowledge with hands-on engineering experience in modern AI frameworks and cloud-based ML infrastructure. Key Responsibilities • Design, develop, and deploy NLP and Generative AI solutions in production environments • Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases • Build and maintain ML pipelines for data ingestion, preprocessing, training, and inference • Develop prompt engineering strategies and evaluate model performance • Implement Retrieval-Augmented Generation (RAG) architectures • Work with structured and unstructured text datasets • Conduct model evaluation, error analysis, and performance tuning • Collaborate with data engineers and software teams to integrate AI models into applications • Ensure responsible AI practices including bias mitigation, explainability, and governance • Maintain documentation and contribute to AI best practices and architecture standards Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field • 5+ years of experience in Machine Learning or AI engineering • 3+ years of hands-on experience with NLP • Strong programming skills in Python • Experience with ML frameworks such as: • PyTorch • TensorFlow • Scikit-learn • Experience working with: • Hugging Face Transformers • OpenAI / LLM APIs • LangChain or similar orchestration frameworks • Experience building and deploying models in cloud environments (AWS, Azure, or GCP) • Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) • Strong understanding of: • Embeddings • Tokenization • Text classification • Named Entity Recognition (NER) • Sentiment analysis • Semantic search • Experience with REST APIs and microservices architecture • Familiarity with CI/CD pipelines for ML deployment Preferred Qualifications • Experience with: • RAG architectures • LLM fine-tuning (LoRA, PEFT, etc.) • Distributed training • MLOps tools (MLflow, Kubeflow, SageMaker) • Experience working in regulated or government environments • Exposure to AI governance and compliance frameworks • Experience handling sensitive or classified datasets Nice to Have • Knowledge of reinforcement learning from human feedback (RLHF) • Experience building chatbots, copilots, or AI assistants • Experience with knowledge graphs • Familiarity with Kubernetes and containerization

Prompt Engineer (Remote) As a Prompt Engineer, you will be responsible for designing and implementing the natural language processing (NLP) and machine learning (ML) models that power our web3 documentation chatbot. You will work closely with our product and engineering teams to ensure that our chatbot provides accurate and helpful responses to user inquiries. Job Location: Remote, within the U.S. If you accept this position, you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections. Responsibilities • Design, develop, and implement custom generative LLMs (e.g. models similar to GPT ) and discriminative LLMs (e.g. models similar to BERT) • Create wrapper apps based on ChatGTP and other LLMs • Design, develop, and implement systems for AI alignment, Reinforcement Learning with Human Feedback (RLHF) instruction models, and AI guardrails. • Conduct rigorous tests to evaluate LLMs across standardized performance benchmarks and custom evaluations. • Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. • Translate technical findings into clear, actionable insights for a non-technical audience • Develop and maintain documentation and best practices for our NLP and ML models. • Collaboratively develop distributed training infrastructure to train and fine tune LLMs • Collaborating closely with our data science and core development teams, you will lead efforts in designing and implementing products from scratch • Collaborate with data science and core development teams to integrate AI technologies into both internal and external tools • Provide technical leadership in AI system audits, model accuracy improvements, and tool deployment • Fine-tune AI models based on real-world performance data and stakeholder feedback Minimum Qualifications: • US Citizenship is required by the federal government for this position • Must be able to obtain Public Trust clearance. • MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply. • Bachelor's degree in computer science or related field • 7 years of work experience as a software engineer or relevant experience • 3+ Strong background in natural language processing, machine learning, and data analysis Preferred Qualifications • 3+ years of experience with Python • 3+ Experience with Azure • Familiarity with popular machine learning (ML) frameworks such as TensorFlow and PyTorch. • Experience with generative large language model (LLM) fine-tuning and prompt engineering • Experience with deep learning frameworks • Ability to work with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners • Demonstrates passion for developing LLM-powered products whether that is through commercial experience or open-source projects you have worked on in your own time • Proven track record of shipping software and successfully released apps (please include names and links on your resume) • Experience in cloud technologies and edge computing relevant to AI deployment • Familiarity with Databricks (Delta Lake, notebooks, clusters, jobs) for large-scale data processing. • Familiarity with CI/CD pipelines • Understanding DevOps best practices. • Familiarity with using Virtual Machine environment. Professional Skills: • Excellent problem-solving skills and the ability to work independently and collaboratively. • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. • Capacity for problem solving • Comfortable with collaboration and open communication across distributed teams Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to

Position: NLP & Language Models Engineer (AI/ML) A leading technology consulting firm in Maryland is seeking an AI/ML Engineer to build, train, and evaluate advanced language models. The ideal candidate will have a strong background in machine learning, particularly in natural language processing, and must possess a B.S. degree in a STEM discipline. This full-time position offers an excellent benefits package, including generous PTO and fully paid healthcare from day one. #J-18808-Ljbffr

A leading technology and professional services company in McLean, VA, seeks a Natural Language Process Engineer to turn data into measurable outcomes and deliver innovative solutions. Candidates should have 8+ years of experience in text processing, machine learning, and Agile practices, with a relevant degree. The role offers a salary range of $138,063 to $186,791, plus comprehensive benefits including 401K matching and professional development opportunities.

Applied Researcher I (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. 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, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: • 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 open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. • Has a deep understanding of the foundations of AI methodologies. • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. • Experience in delivering libraries, platform level code or solution level code to existing products. • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields • LLM • PhD focus on NLP or Masters with 5 years of industrial NLP research experience • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) • Publications in deep learning theory • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR • O

Find Ai Research Scientist positions in Maryland, United States. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

Required: • U.S. Citizenship Required. • Must have the ability to obtain / maintain a Public Trust clearance • Bachelor’s degree and 12+ years, Master's degree and 10+ years, or PhD and 7+ years in Engineering, Computer Science, Physics, or a related technical field of experience • Demonstratable AI/ML research experience, academic research publications in peer-reviewed international AI/ML conferences are required, unless similar qualifications can be demonstrated • Expertise in one or more programming languages: C, C++, Python, Javascript • Hands-on development experience in AI/ML model building and tuning • Hands-on development experience of agentic AI • Demonstratable proficiency in working with state-of-the-art large language models at the API level (During interviews on MS Teams, candidates are expected to use VSCode to execute tasks through programmatic interactions with OpenAI tool/function calling API) • Modern software development practices and toolsets (Git, CI/CD toolchains) Desired: • Machine learning libraries, such as TensorFlow, PyTorch, etc • Anthropic’s Model Context Protocol (MCP) • End-to-end machine learning model and generative AI agent development experience • Linux, containers such as Docker, and orchestration tools such as Kubernetes • Hands-on AI/ML development experience in cloud environments, such as AWS Bedrock • Full stack programming experience • Azure cloud working experience Join Peraton Labs in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA’s Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation’s skies safe and connected. We’re looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world’s most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. At Peraton Labs, you won’t just support the mission — you’ll define it. Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton Labs is seeking a Senior AI/ML Research Scientist to join our team of qualified, diverse individuals. The ideal candidate will influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). Whether you’re supporting safety validation efforts or leading teams on major FAA programs, your work will directly impact the millions of passengers and aviation professionals who rely on safe, efficient airspace operations every day. The Senior AI/ML Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI. In this position, you will: • Provide guidance and strategic direction on research initiative to ensure they align with FAA requirements and program objectives • Collaborate with leadership, research teams, and external partners to identify research opportunities, develop methodologies, advance innovations, and address complex scientific challenges. • Collaborate with leading experts in government, academia, and industry to address some of the most complex challenges in modern aviation. • Influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). • Contribute to critical research programs at premier facilities such as the William J. Hughes Technical Center, where cutting-edge simulations and testing shape the National Airspace System (NAS). • Bridge research and operational application, ensuring innovative solutions are practical, safe, and ready for deployment across the aviation ecosystem. • Conduct and guide research and development on technologies supporting the NAS, airport infrastructure, and air traffic management. • Provide technical leadership and advisory support to FAA leadership on emerging technologies such as AI, satellite navigation, UAS, and advanced communications. • Lead or contribute to design, testing, and innovation initiatives for next-generation aviation systems. • Prepare technical reports, white papers, and presentations for FAA leadership and external advisory groups. • Participate in special programs related to environmental and energy research. • Oversee or support contractor-led research efforts to ensure alignment with FAA priorities and standards. Why This Role Matters The FAA is the cornerstone of aviation safety and innovation. As global air traffic grows and technology evolves, research scientists and advisors are essential to ensu

A leading research institution is looking for a Senior Autonomous Systems Research Scientist to lead and conduct essential research in AI-enabled systems, addressing complex challenges in mission-critical environments. The ideal candidate will have a PhD and significant experience in machine learning and robotics while contributing to interdisciplinary teams. This role requires on-site presence in Arlington, VA, and offers comprehensive benefits including medical insurance, retirement savings, and more. #J-18808-Ljbffr

Our client, a cutting-edge research and development firm at the forefront of Artificial Intelligence, is seeking a brilliant and innovative AI Research Scientist to join their esteemed team in **Washington, D.C., US**. This role is pivotal in advancing the state-of-the-art in AI, focusing on developing novel algorithms and models for complex problem-solving. You will be part of a collaborative environment, working alongside leading experts in machine learning, deep learning, and related fields. The ideal candidate possesses a strong academic background, exceptional research capabilities, and a passion for pushing the boundaries of AI technology. This position offers a unique opportunity to contribute to groundbreaking projects with significant real-world impact. Responsibilities: Conduct original research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. Design, implement, and evaluate novel AI algorithms and models. Collaborate with a team of researchers and engineers to translate research findings into practical applications and prototypes. Publish research results in leading academic conferences and journals. Stay abreast of the latest advancements and trends in the AI and machine learning community. Develop and maintain high-quality, well-documented code for research experiments. Analyze large datasets to identify patterns, extract insights, and train AI models. Contribute to the development of intellectual property and patent applications. Present research findings to both technical and non-technical audiences. Mentor junior researchers and interns. Participate in defining the future research roadmap for the organization. Explore emerging AI technologies and their potential applications. Develop robust evaluation methodologies for AI systems. Engage with the broader AI research community through workshops and collaborations. Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. A strong publication record in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). Proven expertise in one or more subfields of AI/ML, such as deep learning frameworks (TensorFlow, PyTorch), NLP, computer vision, or reinforcement learning. Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NumPy, SciPy, scikit-learn). Experience with large-scale data processing and distributed computing environments. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills, with the ability to articulate complex research ideas effectively. Ability to work independently and lead research projects. Passion for scientific inquiry and a drive to make significant contributions to the field of AI. Experience in a collaborative research environment. Must be authorized to work in the **Washington, D.C., US** area. This is an exceptional opportunity to shape the future of AI. Our client is committed to fostering an environment of innovation and discovery in **Washington, D.C., US**.

A leading technology company is seeking a candidate to join their AI Knowledge team, focusing on advancing recommendation systems through large language models and generative AI. Responsibilities include conducting innovative research, contributing to experimental designs, and helping identify long-term research goals. The ideal candidate should have a Bachelor’s degree in a relevant field, experience in generative AI, and strong programming skills. A competitive compensation package includes a salary range of $154,000 to $217,000 yearly, plus additional benefits.

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. Role Summary Owns product area focused on applied AI and automation capabilities embedded across external, client-facing digital platforms for sponsors, advisors, and participants. Establishes and maintains a long-term, sequenced product roadmap that delivers near-term client value while expanding intelligence, personalization, and capability over time, in partnership and alignment with the firm’s enterprise AI strategy. Leads complex, cross-functional initiatives across B2B and B2C experiences, including AI-powered virtual assistants, conversational analytics, and intelligent reporting. Owns outcomes end-to-end, from initial definition and compliant launch through expansion and optimization. Operates with clear decision ownership, accountability for results, and disciplined execution. Responsibilities Product Vision and Strategy: • Defines and owns the product vision and roadmap for applied AI capabilities across sponsor, advisor, and participant digital experiences. • Partners with the enterprise GenAI team to align product strategy and roadmap with firmwide AI priorities, shared capabilities, and related business unit initiatives. • Translates enterprise strategy into actionable delivery plans that modernize external digital experiences and strengthen competitive differentiation. • Sequences delivery to balance client value, regulatory readiness, and long-term scalability. • Anticipates shifts in AI capabilities, user expectations, and market offerings and adjusts direction accordingly. Client-Facing Digital Experience Ownership: • Leads AI-driven experience enhancements that simplify complex retirement information and surface relevant insights. • Ensures early releases focus on compliant guidance and decision support, with later releases introducing deeper personalization and proactive insights. • Partners with Product Design and UX to embed AI responsibly into front-end digital tools. • Positions AI-enabled tools as primary digital interfaces where appropriate. Execution and Adoption: • Drives results through clear ownership, prioritization, and disciplined execution across cross-functional teams. • Establishes success metrics tied to adoption, engagement, satisfaction, efficiency, and risk. • Monitors performance and adjusts scope and sequencing to ensure sustained value. Governance and Portfolio Oversight: • Manages a portfolio of AI initiatives and vendor relationships, making informed tradeoffs across scope, timing, and investment. • Coordinates with the enterprise GenAI team and other business units to ensure applied AI capabilities align with firm standards, shared services, and cross-BU investments. • Partners with compliance, risk, and security teams to ensure solutions meet governance and regulatory standards. • Ensures AI capabilities are delivered in alignment with enterprise policies as functionality and scale evolve. • Builds alignment across product, design, engineering, data, and operations to support compliant and sustainable delivery. Qualifications Required: • Bachelor’s degree or equivalent combination of education and experience. • 8+ years of experience in product management, product ownership, or closely related roles delivering complex digital products at enterprise scale. • Proven experience leading cross-functional initiatives across business, technology, data, and risk, with accountability for outcomes. • Ability to translate business strategy and client needs into prioritized product roadmaps and executable delivery plans. • Strong analytical and problem-solving skills, with comfort making tradeoffs in ambiguous, regulated environments. • Working knowledge of modern AI technologies, including generative AI and large language models, and their practical business applications. • Experience driving adoption of new digital capabilities through clear value propositions, performance metrics, and iterative delivery. • Strong commu

A leading IoT technology company is looking for a Principal Product Manager to be the Strategic Owner of the Reporting Platform. In this role, you'll define the product roadmap, drive the incorporation of AI/ML tools, and guide cross-product data analysis. With over 10 years of experience, especially in product management, you will influence executive decisions and ensure customer needs are met. The company values diverse backgrounds and provides an inclusive work environment. #J-18808-Ljbffr

Position: Lead AI Product Manager - GenAI for Investigations A leading digital investigation solutions provider is seeking an experienced Product Manager for its AI Innovation Center. The role involves bridging AI research with real-world investigative tools and owning the lifecycle of AI products. Candidates should have at least 6 years of product management experience, a technical background, and knowledge of AI capabilities, particularly in law enforcement. The position is based in Tysons, Virginia, and contributes to enhancing digital investigations to protect communities. #J-18808-Ljbffr

Become a part of our caring community and help us put health first The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to join us in shaping the future of healthcare through AI excellence. We are seeking a dynamic and experienced Lead Product Manager to join our team (known internally as Lead, IT Product Management) to lead the development and execution of enterprise-wide AI use cases and platforms. The ideal candidate will have a proven track record of building and scaling AI solutions from concept to production, driving cross-functional execution, and translating business needs into technical roadmaps. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated product managers, data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. Job Description The Lead Product Manager conceives, develops, delivers, and manages AI products for use across Humana. This individual oversees and manages all phases of the product lifecycle, from design conception to delivery. Projects could include delivering high-value AI/GenAI use cases or serving as the product manager of AI/GenAI platforms. This associate will need to be delivery-focused, independent, detail oriented, collaborative, and willing to wear multiple hats to ensure successful implementation. Key Responsibilities • Build strong relationships with business and IT leaders, and facilitate alignment • Oversee and manage the AI product lifecycle, from design conception to testing to delivery • Define and execute the technical product roadmap • Collaborate closely with engineering, data science, design, product owner and business to translate business strategy into technical requirements and backlog for the AI solution • Develop detailed program plans, milestones and risk mitigation strategies • Coordinate dependencies across multiple teams • Support testing (UAT) • Support pilot and launch planning, as well as identification and tracking of metrics • Monitor program health metrics and implement corrective actions to ensure on-time, on-budget delivery • Ensure that the final product is of high quality, impactful and meets business strategy • Create and deliver leader communications, including status reports, business reviews and strategic recommendations Use your skills to make an impact Required Qualifications • Bachelor's degree or equivalent • 5+ years of experience in product management, technical solution development or related function • Proven track record of executing complex, enterprise-wide AI solutions from inception to production • Hands-on experience defining and executing product roadmap • Experience turning business strategy into detailed technical requirements and backlogs • Experience in large organizations • Ability to drive progress even during ambiguity and evolve strategies based on emerging needs • Creative problem thinking • Thorough understanding of agile methodologies, values, practices and patterns • Advanced facilitation, influencing, and relationship management skills • Advanced written and verbal communication skills • Ability to go into the office 2-3 days a week. Preferred Qualifications • Preferred experiences: data science, engineering, consulting / banking, product management • Understanding of industry trends, best practices and emerging AI technologies • Experience in healthcare • Experience working in agile methodologies and with agile tools, such as Azure Dev Ops (ADO) or Jira Align Additional Information This position follows a hybrid work style and must be performed at one of our designated IT hub locations: Louisville, KY; Tampa, FL; Dallas, TX; Boston, MA; New York City; or Washington, D.C. As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule. To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be

A healthcare services company in Arlington, VA is looking for a Lead Product Manager to drive AI innovation. This role involves managing the lifecycle of AI products, collaborating with cross-functional teams, and defining product roadmaps. Candidates should have a Bachelor's degree and over 5 years of experience. Responsibilities include ensuring on-time delivery of high-quality solutions, and this position offers a hybrid work model with competitive pay. Join us and make an impact in healthcare through AI excellence.

Job Description Join Oracle's AI Data Platform team as we lead the charge in maximizing the potential of enterprise AI and innovate AI application development. We are in search of a seasoned Senior Principal Product Manager who will drive the strategy, roadmap, and execution of an advanced, scalable AI/ML platform. In this pivotal role, you will define the product vision, gather insights from customers and stakeholders, and create actionable roadmaps that steer engineering efforts. Your collaboration with engineering teams will be vital to designing and delivering scalable, distributed, and resilient AI services tailored to meet both customer needs and business objectives. This opportunity is ideal for a professional with a demonstrated history of steering product initiatives in enterprise or cloud-based platforms, with an understanding of how to balance swift feature delivery against a long-term strategic vision. If you possess experience in developing products that interweave data, AI, and infrastructure, and can articulate complex technologies in a clear, digestible manner, we want to connect with you. This senior-level position requires effective cross-team collaboration to align visions, influence strategic decisions, and mentor fellow product managers. Responsibilities • Drive innovative AI product features, with an emphasis on agent-based workflows and ML/AI integration within a state-of-the-art data platform. • Own product areas from vision through to delivery, ensuring alignment with enterprise customer demands. • Engage closely with architects, engineers, and data scientists to define capabilities that effectively merge structured and unstructured data for AI applications. • Collaborate globally to deliver AI/ML services that promote high scalability, reliability, and robust governance. • Partner with customers and stakeholders to uncover opportunities in AI agents and prioritize impactful features. • Simplify intricate technical concepts (e.g., RAG, NL2SQL, multi-agent orchestration) into clear, actionable product requirements. • Maintain a hands-on approach to data and AI/ML, ensuring informed product decisions based on technical feasibility and customer value. • Champion the AIDP within the organization and externally, shaping the narrative around enterprise AI agent development. • Mentor and develop fellow product managers, fostering organizational growth and advancing Oracle's AI strategy. Qualifications • 8+ years of product management experience. • Strong knowledge of AI, ML, and agent applications in enhancing analytics products and user experiences. • Proven track record in developing AI agents or data science solutions. • Familiarity with AI or ML developer platforms is a plus. • Ability to collect customer insights and translate them into actionable product strategies. • Demonstrated success in cross-functional collaboration with engineering, design, marketing, and sales teams. • Exceptional written and verbal communication skills to effectively convey product vision and technical concepts. • Experience with Oracle Fusion Applications, Oracle Analytics Cloud, or Oracle Cloud Infrastructure is beneficial. • A proactive individual capable of managing priorities in a fast-paced, remote work environment. Disclaimer: Certain roles may require compliance with immunization and occupational health mandates. Salary and Benefits: The hiring range for this position is between $82,500 to $199,500 per annum. Additional benefits may include bonus and equity opportunities. About Us As a leader in cloud solutions, Oracle utilizes cutting-edge technology to address modern challenges. We are committed to promoting a diverse workforce, emphasizing empowerment and growth opportunities for all. We strive to create an inclusive workplace, offering competitive benefits and encouraging community involvement. Oracle is an Equal Employment Opportunity Employer, welcoming applicants from diverse backgrounds without discrimination in any form.

Find Ai Product Manager positions in Bethesda, MD, US. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

We are seeking a Product Manager who will define and evolve the generative and agentic services that power our enterprise-grade platform for building AI applications. You will own the productization of generative and agentic services coming out of Pryon Research. The Product Manager, Generative will drive benchmarking strategies to evaluate model quality, latency, and safety across both SaaS and on-prem deployments, ensuring our generative capabilities remain reliable and aligned with customer expectations. You will stay ahead of the rapidly shifting generative AI landscape by synthesizing market research, competitive insights, and customer feedback to guide roadmap direction. You will also shape how Pryon leverages function calling and the Model Context Protocol (MCP) to enable more robust and controlled agentic workflows In This Role, You Will: • Own the NL2SQL initiative in close partnership with Research, laying the foundation for how structured data is ingested, productized, and scaled across the platform • Ensure core generative and RAG services are portable-ready, scalable, and designed to operate across deployment environments • Partner closely with our orchestration tool to ensure seamless compatibility, and extensibility across agent workflows • Define how we operationalize MCP (Model Context Protocol) to enable reliable, composable agentic workflows • Own the health, reliability, and evolution of our underlying RAG and generative services, including quality, performance, and long-term extensibility • Act as the connective tissue across Research, Platform, and Applications to unblock and accelerate customer-facing AI experiences • Provide clear ownership and direction for platform capabilities that all downstream AI products and customer experiences depend on • Lead agile ceremonies including refinement, roadmap reviews, sprint planning, and stand-ups • Ensure on-time delivery of product features, enhancements and improvements • Define use cases, set requirements and acceptance criteria for features, utilizing an iterative approach to allow for measurement of success and adoption, and prioritization of enhancements • Own your roadmap and set prioritization for feature delivery from technical teams by synthesizing market research, customer and prospect data, customer needs, and internal/external stakeholder expectations • Demonstrate full knowledge of the development process in your area of focus and at times be a key contributor and mindful guide to engineers and scientists on the team • Interact with customers and market thought leaders to develop a deep understanding and define product requirements and best practices for an enterprise business problem • Author product specifications, inclusive of use cases, and activity flow diagrams; identify data sources, analytics, reporting, and integration requirements • Collaborate with engineering, data science, and other support teams such as user experience, QA, and documentation to create exceptional solutions What You Need to Be Successful: • Bachelor's degree or equivalent practical experience. • 3-5 years of experience in product management or a related technical role. • 2 years of experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI or ML). • Exceptional written and verbal communication skills, with the ability to share technical knowledge and information across various audiences. • Demonstrated experience leading product, enterprise, or consumer communications at technology companies, including building communications functions or strategies from the ground up. Preferred Qualifications: • Experience with coding/engineering fundamentals. • Deep knowledge of machine learning, artificial intelligence, and GenAI, with the ability to provide technical guidance to developers. • Proven experience in Product-Led Growth (PLG) initiatives and defining pricing/packaging strategies for technical products. • Prior experience engaging with or marketing to Enterprise and/or Federal customers or other highly regulated environments. • Intuitive understanding of how different technical and business audiences discover, evaluate, and adopt AI tools. $140,000 - $160,000 a year 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. Apply for this job

Become a part of our caring community and help us put health first The Senior AI Product Managers work with cross-functional teams of engineers, designers, data scientists, and business stakeholders to build AI-powered solutions that solve real enterprise problems. We are looking for product managers who value moving quickly, from understanding a business challenge to prototyping an AI solution to proving its value. You will own a product area within our applied AI portfolio, define what success looks like, and drive a team to deliver it. Key Responsibilities • Responsible for contributing to a product area within our applied AI portfolio, defining success metrics, prioritizing problems, and identifying the best AI-driven strategies aligned with business goals. • Work directly with business stakeholders to understand their operations, capture requirements, map processes, and identify high-impact opportunities for AI. • Translate business problems into clearly scoped AI use cases and drive them from concept through prototyping to validation. • Contribute to rapid prototyping of AI solutions, including GenAI applications, AI agents, conversational AI, and intelligent automation, to demonstrate feasibility and business value. • Work with a cross-functional team of engineers, designers, and data scientists to define products, develop roadmaps, and drive progress against goals and milestones. • Gather and analyze user research, business process data, and market analysis to inform product decisions and influence the wider product organization. • Contribute to evaluation frameworks to test, benchmark, and compare AI models and platforms against enterprise requirements. • Contribute to reusable product frameworks, playbooks, and best practices that accelerate AI solution delivery across the organization. • Communicate product strategy, progress, and business value with clarity to all stakeholders. • Support experimentation, A/B testing, and iterative design approaches to continuously improve AI solutions. Use your skills to make an impact Required Qualifications • 4+ years of relevant industry experience with at least 2 years in product management or a closely related role. • Experience working with a cross-functional product team on a significant product area: crafting product vision and strategy, defining requirements, coordinating resources, and driving the team to achieve key milestones. • Demonstrated experience working directly with business stakeholders to gather requirements, map processes, and identify opportunities for AI-driven improvement. • Hands-on experience prototyping or building AI-powered solutions, not just supporting from a distance. • Experience with AI/ML products and platforms in enterprise environments, including GenAI applications, conversational AI, or intelligent automation. • Proven ability to drive measurable improvement in product performance and team effectiveness. • Experience managing a product through multiple lifecycle phases, from discovery through prototyping, validation, and deployment support. Product & Technical Skills • Demonstrated ability to analyze large-scale, complex data sets and make effective decisions based on data. • Experience integrating diverse requirements from a broad set of users and business contexts into a coherent product strategy. • Practical understanding of AI/ML concepts and how they apply to real business problems. • Experience with GenAI platforms, prompt engineering, and AI agent frameworks. • Knowledge of AI solution architectures (e.g., RAG, conversational AI) sufficient to evaluate feasibility and guide implementation. • Ability to contribute to evaluation frameworks for assessing AI model and platform performance. • Familiarity with design and prototyping tools (e.g., Figma, Miro) to communicate product vision. • Understanding of human-centered design principles and data visualization for AI-powered applications. • Knowledge of responsible AI principles, bias mitigation, and ethical AI design. Preferred Qualifications Strategy & Communication • Ability to synthesize complex information and translate between business language and technical concepts with clarity. • Experience with product strategy, roadmap planning, feature prioritization, and agile delivery. • Ability to contribute to business cases and ROI models for AI investments. • Demonstrated experience in communication, bringing extreme clarity to complex messages for diverse stakeholders. • Strong collaboration skills across engineering, design, business, and executive stakeholders. • Strong problem-solving skills with ability to balance innovation and execution. • Awareness of industry trends, emerging AI technologies, and best practices. Additional Information This position follows a hybrid work style and must be performed at one of our designated IT hub locations: Louisville, KY; Tampa, FL; Dallas, TX; Boston, MA; New York City; or Washington, D.C. To ensure Home or Hybrid H

Join a Community Committed to Health The Enterprise AI organization at Humana is at the forefront of AI innovation, dedicated to enhancing the Insurance and CenterWell business segments. By collaborating with industry-leading experts, we aim to advance AI technologies that elevate the care quality and experience for millions. We invite talented individuals to be part of this mission and help shape the future of healthcare through groundbreaking AI solutions. We are in search of a skilled and enthusiastic Senior Product Manager to lead the development and implementation of enterprise-wide AI projects and platforms. The ideal candidate will have a proven track record of creating and scaling successful AI solutions from concept to production, while effectively coordinating with cross-functional teams and translating business needs into actionable technical plans. Our mission centers around developing safe and effective AI solutions that revolutionize healthcare experiences and outcomes for our clients. Join our diverse team of product managers, data scientists, engineers, policy experts, and business leaders committed to building impactful AI systems. Job Responsibilities • Build strong partnerships with business and IT leaders to ensure alignment and collaboration. • Oversee the complete AI product lifecycle, from design inception through testing and delivery. • Define and implement the technical product roadmap for AI initiatives. • Work closely with engineering, data science, and business stakeholders to translate strategic vision into technical requirements and actionable backlogs. • Create detailed program plans, establish milestones, and develop risk mitigation strategies. • Coordinate project dependencies across multiple teams to ensure streamlined execution. • Support user acceptance testing (UAT) and product launch strategies. • Identify, track, and report metrics to evaluate project success and impact. • Monitor program health metrics and take corrective actions to meet delivery timelines and budgets. • Ensure final products are of superior quality, impactful, and aligned with business strategies. • Prepare and present communication materials for leadership, including status updates and strategic recommendations. Required Skills and Experience • Bachelor's degree or equivalent experience. • 5+ years of experience in product management, technical solution development, or a related field. • Proven success in delivering complex AI solutions from inception to production. • Hands-on experience in creating and executing a product roadmap. • Ability to translate business strategy into detailed technical requirements. • Experience in large organizations. • Strong capability to lead progress amid uncertainty and adapt strategies to emerging needs. • Creative problem-solving skills. • Thorough knowledge of agile methodologies and best practices. • Advanced skills in facilitation, influence, and relationship management. • Outstanding written and verbal communication skills. • Willingness to be in the office 2-3 days per week. Preferred Qualifications • Experience in data science, engineering, consulting/banking, or product management. • Familiarity with industry trends, best practices, and emerging AI technologies. • Background in healthcare. • Experience with agile tools such as Azure DevOps or Jira Align. Additional Information This position follows a hybrid work style and must be performed at one of our designated IT hub locations: Louisville, KY; Tampa, FL; Dallas, TX; Boston, MA; New York City; or Washington, D.C. As part of our hiring process, we will utilize an interviewing technology to streamline our efforts and ensure a strong fit for the role. For remote workers, your internet connection must have a minimum download speed of 25 Mbps and an upload speed of 10 Mbps. Humana will provide the necessary equipment to meet business needs. Please work from a dedicated space free from interruptions to protect member PHI/HIPAA information. Scheduled Weekly Hours: 40 Compensation Range: $126,300 - $173,700 per year, dependent on location and qualifications. This role is eligible for a bonus incentive plan based on both individual and company performance. Benefits Overview: Humana offers comprehensive benefits that promote well-being for employees and their families, including medical, dental, and vision coverage, retirement plans, paid time off, and more. About Us: Humana Inc. is dedicated to prioritizing health for our team members, customers, and communities alike. Through our insurance and healthcare services, we strive to simplify healthcare access and improve lives. Equal Opportunity Employer: Humana does not discriminate against applicants based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or veteran status. We adhere to all applicable civil rights laws and provide free language interpreter servic

Background Information: Innovative Defense Technologies(IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview: The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include: • Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability • Leverage state-of-the-art theory and technologies to solve complex problems • Establish and leverage Big Data frameworks to store, extract and analyze relevant data • Develop software solutions by understanding customer requirements and program intent • Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions • Be responsible for solutions that meet software design, quality, and performance requirements • Work with minimal supervision in a collaborative work environment to implement best-in-class solutions Minimum Required Qualifications: • Bachelor’s Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field or equivalent full-time professional experience required; Master’s Degree in Data Science or other technical field highly preferred • 3+ years of experience in predictive modeling, data science and analysis Required Skills: • Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities • Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks • Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms • In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE) • Strong proficiency in Python • Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc. • Knowledge of data and information visualization principles and experience using related tools Preferred Skills: • Strong software engineering background • Skills with other programming languages, such as Julia, Java or C/C++ • Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations • Experience with application container platforms • Familiarity with continuous integration/delivery tools (e.g. Jenkins) • Familiarity with version control tools (e.g. Subversion, Git, etc.) • Familiarity with VMware or other virtualization software • Experience developing applications for DOD command and control systems • Familiarity with Large Language Models (LLM) and LLM parameter tuning • Familiarity with network science and graph theory Competencies: • Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive • Attention to detail • Strong sense of intellectual curiosity and desire to learn • Initiative, creativity, reliability, teamwork • Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment Price range: $90,000 - $150,000 or $114,000 - $184,000 • Pursuant to New Jersey Senate Bill 2310, IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about New Jersey Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. EEO Statement: IDT is an Equal Opportunity employer.

A leading consulting firm is looking for a skilled Data Scientist to transform complex data sets into actionable insights. You will work on diverse projects across private and public sectors, utilizing cutting-edge technologies like IoT and machine learning. The ideal candidate has over 5 years of experience in data science, proficiency in statistical programming, and the ability to effectively communicate findings to senior stakeholders. This role offers a competitive salary and flexible work arrangements, prioritizing your growth and wellbeing. #J-18808-Ljbffr Booz Allen Hamilton

Become a part of our caring community and help us put health first Humana is seeking a Senior Responsible AI Data Scientist to champion the ethical development of artificial intelligence across our organization. This is a highly cross-functional position requiring deep technical expertise in AI and machine learning and a passion for advancing Responsible AI initiatives through collaboration with diverse stakeholders across the enterprise, including legal, compliance, education, and IT. In this role, you will contribute to both research and development (R&D) and software development efforts while supporting the implementation of scalable frameworks for ethical, transparent, fair, and organizationally-aligned AI solutions. You will help ensure that our AI systems are innovative, high-impact, and always guided by Humana's core values and regulatory standards. Key Responsibilities • Support initiatives to ensure responsible use of AI across the enterprise, including model risk assessments, fairness evaluations, and compliance with ethical and regulatory standards. Champion transparency, accountability, and trust in all AI and data science practices. • Drive and contribute to R&D efforts to advance innovative, high-impact, and ethically-grounded AI solutions in healthcare. • Design and implement processes, tools, and frameworks for the evaluation, monitoring, and documentation of AI systems to ensure ongoing compliance with ethical and regulatory standards. • Stay current with emerging research, regulations, and industry best practices in Responsible AI, translating learnings into actionable recommendations for Humana's AI ecosystem. • Partner cross-functionally with legal, compliance, IT, education, and other teams to operationalize Responsible AI principles throughout the organization. • Support and help evolve Humana's Responsible AI governance initiatives, policies, and standards. • Serve as an internal consultant and subject matter expert on Responsible AI topics such as fairness, transparency, privacy, safety, and risk mitigation. • Facilitate Responsible AI education and awareness initiatives, including the development of training materials and guidance for technical and non-technical stakeholders. Use your skills to make an impact Required Qualifications • Bachelor's degree with 5+ years of experience, Master's degree with 3+ years of experience, or PhD in a quantitative field. • Proficiency in development of Python software tools and applications for data scientists. • Demonstrated proficiency in applying software development best practices, including code versioning, testing, documentation, and secure coding standards • Hands-on experience developing and deploying Generative AI and traditional machine learning applications • Experience with analysis of structured and unstructured data, and building end-to-end analytical workflows. • Demonstrated experience developing tools, frameworks, or processes that operationalize Responsible AI principles (e.g., fairness, transparency, privacy, safety, accountability) in real-world projects. • Proven ability to collaborate with cross-functional teams to address complex governance challenges. • Excellent communication skills, with the ability to convey technical and ethical considerations to non-technical stakeholders. Preferred Qualifications • Prior experience working in healthcare, health tech, or highly regulated industries. • Record of publication or thought leadership in Responsible AI or related fields. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location Options: • Louisville, KY • Boston, MA • New York, NY • Dallas, TX • Tampa, FL • Washington, DC (Arlington, VA) Why Humana? At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life.Just to name a few: • Work-Life Balance • Generous PTO package • Health benefits effective day 1 • Annual Incentive Plan • 401K -Excellent company match • Well-being program • Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: • At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested • Satellite, cellular and microwave connection can be used only if approved by leadership • Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. • Humana will provide Home or Hybr

Senior Legal Data Scientist, AI Innovation Contact Discovery Services - Washington, DC Location: Remote Start Date: Immediately A leading eDiscovery technology and consulting firm headquartered in Washington, DC is looking for a Senior Data Scientist in the eDiscovery space to focus on designing and implementing client-specific solutions throughout the EDRM. The Legal Data Scientist will be a core part of the Advisory Services Team as they rapidly expand and make key investments in applying Generative AI and Machine Learning (TAR 2.0) across complex disputes, investigations, and litigations. The qualified candidate should have extensive experience with creating workflows supporting complex litigations and investigations. We take a consultative approach in working with our clients and managing cases and an extensive knowledge of the full EDRM, legal case management, and litigation lifecycle is important. This role demands a strong leader who can partner effectively with all levels of the organization as well as outside counsel leading each matter. The Senior Legal Data Scientist, AI Innovation, will be a foundational member of the expanding Advisory Services team. This role is crucial for transforming strategic vision into defensible, client-facing AI solutions within the eDiscovery domain. The ideal candidate will possess deep technical expertise in Generative AI and Machine Learning (ML), combined with the ability to clearly communicate complex concepts to clients and internal stakeholders and an active US bar license. DUTIES OF THE POSITION: Technical Strategy & Execution (Focus on ML & Generative AI) • Prompt Engineering & Refinement: Lead the creation, testing, and continuous refinement of advanced Generative AI prompts and strategies (e.g., using tools like RelativityOne’s aiR/eDiscovery AI) to maximize accuracy, efficiency, and defensibility of outputs. • QC Iteration Process: Reviewing all results of each prompt iteration in order to better identify pitfalls and where QC needs to be focused after the use of AI. • AI Auditability & QC Protocol: Assist in the design and implement the technical framework for the AI Auditability Protocol, ensuring all ML and Generative AI outputs are transparently logged and auditable (including full prompt history and system parameters) for legal defensibility. • Model Optimization: Collaborate with the Engineering Team to integrate, test, and customize both Generative and Non-Generative AI models within case specific workflows, ensuring optimal performance and accurate results. • Development of New Technology: Analysis of off-the-shelf tools and make recommendations for new offerings. Suggest and plan the creation of tools that augment and improve current workflows using Generative and Non-Generative AI applications. Client Consulting & Education (Focus on Communication) • Expert Consulting: Act as the Subject Matter Expert (SME) in direct consultations with clients and legal counsel, clearly explaining the mechanics, defensibility, and limitations of our AI tools to build trust and drive adoption. • Internal Enablement: Develop and deliver technical training and documentation on AI usage for the Sales and Client Services teams, turning complex concepts into clear, value-driven messages. • KPI Reporting: Support the Managing Director in defining, tracking, and reporting on key AI usage and accuracy metrics (KPIs) to the Partner Team and C-Suite. Required Qualifications • Experience: Minimum of 3 years in a Data Scientist, Machine Learning Engineer, or similar technical role, with significant experience in a regulated industry (Legal, Finance, or Healthcare). • eDiscovery/Legal Tech Proficiency: Demonstrated experience or high familiarity with industry-standard eDiscovery platforms, specifically including RelativityOne’s aIR, eDiscovery AI, or similar advanced analytics tools. • Technical Skills: Expert-level proficiency in prompt engineering, Python, data analysis, and experience working with large language models (LLMs) and advanced ML concepts. • Communication: Proven ability to translate complex technical concepts (e.g., model drift, hallucination, confidence scoring) into clear, non-technical business language for a C-Suite and client audience. The Ideal Candidate Will... • Barred attorney in any jurisdiction • Thrive in an environment where innovation meets high stakes (legal defensibility). • Be eager to build something entirely new, moving from zero to one. • Possess a strong, almost consultative mindset when approaching technical problems. SALARY RANGE: • $125,000.00 - $160,000.00 ABOUT CONTACT: Contact Discovery Services delivers best in class service to many Fortune 100/500 companies. Our growth is driven by investing in people and technologies, ensuring our customers have access to the highest level of customer service and the most qualified resources. Our team members are comprised of talented engineers, analysts, and project managers from all walk

We’re seeking an AI/ML Engineer & Data Scientist to build ML solutions, develop scalable data pipelines, and improve information discovery and decision‑making. You’ll work with structured and unstructured data, support digitization/cataloging workflows, and contribute to intelligent search and automation capabilities. This position is contingent upon contract award and requires U.S. citizenship to be eligible for a Public Trust. Direct hire only. What You’ll Do • Develop data models and analytics that generate actionable insights. • Build and refine ML/NLP models (document understanding, classification, ranking, embeddings, search relevance). • Create data ingestion/transformation pipelines for structured and unstructured content. • Use cloud services for storage, indexing, model deployment, and scalable processing. • Apply workflow‑simulation and modeling techniques to optimize operations. • Develop AI‑enabled tools (chatbots, wizards) including prompt orchestration and human‑in‑the‑loop support. What You Need • Bachelor’s degree in Data Science, Computer Science, or related field (Master’s preferred). • 3+ years with Python, ML frameworks (TensorFlow, PyTorch, scikit‑learn), and cloud platforms (Azure or AWS). • Experience with Azure AI Services and LLMs. • Background in NLP and search/retrieval strategies. • Familiarity with MLOps (deployment, monitoring, CI/CD). • Knowledge of ML/data security and federal data privacy requirements. • U.S. citizenship required. About Azulo Azulo accelerates mission success for government agencies through innovative, data-driven technology solutions. As a trusted partner to federal, state, and local governments, we deliver customized strategies that transform operations and maximize results. Our core expertise includes advanced data analytics, AI/ML, enterprise IT modernization, and strategic management consulting. Pay: $90,000.00 - $120,000.00 per year Benefits: • 401(k) • Dental insurance • Health insurance • Paid time off • Vision insurance Application Question(s): • This job requires US citizenship. Do you meet this requirement? • How many years of experience do you have in developing cognitive search solutions? Education: • Bachelor's (Required) Experience: • AI/ML development: 3 years (Required) • natural language processing (NLP): 2 years (Required) Work Location: In person

Job Title: Senior Software Engineer - Machine Learning & Cloud Technologies Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None • * * The Opportunity: Join our dynamic team as a Software Engineer where you will play a pivotal role in developing, maintaining, and enhancing complex and diverse software systems. Whether working independently or as part of a collaborative team, you will contribute to innovative solutions that drive our mission forward. If you are passionate about software development, machine learning, and cloud technologies than this is an ideal role for you! Responsibilities • Data Pipelines: Implement and refactor data pipelines at scale to improve efficiency and code correctness. • Tool Enhancement: Monitor and enhance existing data science tools to facilitate the transition from development to production systems. • ML Analytics: Design, implement, and enhance machine learning analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn. • Model Management: Train, test, track, and curate models using industry-standard tools and practices. • CI/CD: Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes. • Cloud Services: Utilize AWS services such as EC2, S3, and RDS for building and deploying applications. • System Integration: Integrate model and tool outputs within Computer Network Defense (CND) systems to enhance Security Management/Monitoring services. • Documentation: Document all processes and code, and provide comprehensive reports on completed tasks. • This position sits 50% of the time at our Laurel and 50% at our Linthicum Heights, MD locations. Qualifications Required: • Active TS/SCI w/ Polygraph • Experience with Python • Experience with Docker and/or Kubernetes • 14 years’ experience as a Software Engineer in programs and contracts of similar scope, type, and complexity, or a Bachelor’s degree in Computer Science or a related discipline plus 4 years of additional SWE experience. • Bachelor’s degree in Computer Science or a related discipline from an accredited college or university is required. Alternatively, 4 years of additional Software Engineering experience on projects with similar software processes may substitute for a bachelor’s degree. Desired: • Experience with AWS • Experience with Machine Learning This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. 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: $131,800 - $290,000 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.

Are you passionate about the chance to bring your data quality improvement experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities? Then Thomson Reuters Special Services (TRSS) is looking for you! About the Role As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. You will be a contributing member of a Software Engineering team that supports production applications and also helping to develop new features and models. The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a Generative AI and Machine Learning Engineer , you will: • Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery. • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments. • Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables. • Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise. About you You're a good fit for the role of Generative AI & Machine Learning Engineer if you have: • Master’s or Bachelor’s in a relevant discipline. Relevant experience will be considered in lieu of a degree • Proficiency in Python • At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis. • Solid software engineering skills and experience • Experience as a technical leader, leading aspects of the following :aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders • Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms • Ability to obtain and maintain a U.S. national security clearanceU.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements The following skills and tools are preferred, but not required • 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry • Experience with AI Agent frameworks and patterns • Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling • Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization) • Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV • Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications • Experience in a fast-paced, agile environment managing uncertainty and ambiguity. • Proficiency in Python and experience delivering minimum viable products in a lar

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 to provide leap-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, and maintaining AI capabilities • identify and 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 Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.  The Secure AI Lab 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, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.   The Secure AI Lab 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 AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.   • AI and ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques. • Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors.  As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.  Your day-to-day engineering tasks will include: • Identifying and investigating emerging AI and AI-adjacent technologies. • Defining and refining processes, practices, and tools for working with AI. • Designing and building well-engineered prototypes of AI systems. • Transitioning and providing guidance on AI capabilities to government sponsors.   Duties • Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.    • Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems. • Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques. • Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. • Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.  Knowledge and Experience • Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required • A track record of using well-established engineering practices to solve difficult problems • An understanding of how to convert research results into functioning prototypes or capabilities • Experience leading technical projects in novel areas with limited previous work to build upon • S

Location: Bethesda, MD (Hybrid) Clearance: Public Trust (Role may require additional background investigations) Employment Type: Full-Time US Citizenship is Required Position Overview: Praescient Analytics is seeking a highly experienced Senior AI/ML Engineer to support a mission-critical federal analytics and artificial intelligence modernization program. This role is responsible for designing, engineering, deploying, and operating production-grade AI and machine learning systems that support real-time decision-making, advanced analytics, and public safety outcomes. The Senior AI/ML Engineer owns the end-to-end machine learning lifecycle, from data ingestion and model development through deployment, monitoring, and governance. This position plays a key role in operationalizing advanced analytics, building scalable MLOps pipelines, and integrating AI capabilities into cloud-native systems within a highly regulated federal environment. Key Responsibilities: • Design, develop, train, and optimize machine learning and deep learning models supporting predictive analytics, classification, anomaly detection, NLP, and AI-assisted decision support. • Apply advanced ML techniques using supervised, unsupervised, and semi-supervised learning approaches. • Design and implement end-to-end MLOps pipelines supporting model training, validation, versioning, deployment, and rollback. • Deploy models into production environments using Microsoft Azure ML, containerization, and CI/CD pipelines. • Implement model monitoring, performance tracking, and drift detection to ensure long-term reliability and accuracy. • Build and maintain AI solutions leveraging Microsoft Azure services, including: • Azure Machine Learning • Azure Data Lake Storage • Azure Synapse Analytics • Integrate AI/ML solutions with existing data platforms, APIs, and analytics services. • Optimize AI workloads for cost, performance, and reliability in cloud environments. • Ensure AI systems adhere to federal standards for responsible AI, transparency, explainability, and auditability. • Support model documentation, validation artifacts, and compliance reporting. • Collaborate with governance and stakeholder teams to ensure models are suitable for high-impact decision-making. • Work closely with data scientists, data engineers, analysts, architects, and Agile project managers in a fast-paced Agile delivery environment. • Mentor junior engineers and contribute to shared engineering standards and best practices. Required Qualifications: Experience • Minimum of 5+ years of experience designing, deploying, and operating production AI/ML systems. • Demonstrated experience moving models from research or prototype stages into production environments. • Proven experience supporting AI systems in mission-critical or regulated settings. • Bachelor's Degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field - or equivalent professional experience. • Experience supporting federal, public-sector, or other regulated environments. Technical Skills • Expert proficiency in Python and AI/ML frameworks such as PyTorch and/or TensorFlow. • Strong experience with machine learning libraries including Scikit-learn, NumPy, and Pandas. • Hands-on experience with Microsoft Azure AI/ML services, particularly Azure Machine Learning. • Experience building CI/CD pipelines for ML workflows. • Familiarity with containerization (Docker) and model deployment patterns. • Experience with SQL and data integration for ML workloads. • Proficiency with Git-based version control and collaborative development. Communication & Leadership • Strong written and verbal communication skills. • Ability to explain complex AI/ML concepts to technical and non-technical stakeholders. • Proven ability to lead technical efforts and collaborate across multidisciplinary teams. Clearance: Minimum of a Public Trust (U.S. Citizenship is Required) Preferred Qualifications: • Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Engineering, or a related field - or equivalent professional experience. • Familiarity with AI agents, vector databases, large language models (LLMs), or Copilot-style architectures. • Azure certifications (AI Engineer, Data Scientist, or related). • Experience with streaming or near-real-time AI pipelines. What you can expect from us: • Real opportunity for career growth in an environment where your achievements will be celebrated • Constant collaboration with numerous teams to ensure client success • A team that respects and embraces your ideas and expertise • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain • A workplace dedicated to supporting and bettering public safety and government agencies Benefits: • Very competitive salary based on qualifications and experience • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles) • 401(k) with company match • Tra

The AIML team in Apple Services Engineering is building the future of how millions of users discover, explore, and enjoy music across Apple Music, Siri, Spotlight. Our mission is to help every user find and experience the content they love-effortlessly and personally-by harnessing the potential of Machine Learning, Natural Language Understanding, and Generative AI. As part of the Music Search team, you'll work at the intersection of machine learning, language understanding, and generative AI, crafting next-generation search and recommendation experiences. Your work will shape how users connect with the songs, artists, and playlists they love Description As Machine Engineer on the Music Search team within Apple Services Engineering (AIML), you will help shape the future of how millions of users discover and experience music across Apple platforms. You'll design and deploy models that combine machine learning, natural language understanding, and generative AI to deliver more intuitive and personalized search experiences. You will build systems that understand user intent, rank results intelligently, and bring the magic of LLMs and transformer-based models into real-world applications. This is a hands-on role where your work will directly impact how users interact with Apple Music app, Siri, Spotlight, and other experiences across the Apple ecosystem. Responsibilities • In this role, you will: • Build and deploy LLM-powered and ML-driven models to improve search relevance, personalization, and user intent understanding for music discovery. • Design retrieval and ranking systems that combine semantics, user context, and catalog metadata. • Collaborate with cross-functional teams across engineering, data science, and design to define the next frontier of intelligent music search. • Analyze large-scale data and model performance to identify new opportunities for improving search quality. • Ensure your systems meet Apple's standards for privacy, efficiency, and delightful user experience. Minimum Qualifications • 2+ years of experience in machine learning, natural language processing, information retrieval, or LLM-based systems. • Strong programming skills in Python or C++, with experience building scalable ML systems. • Deep understanding of transformer architectures, embeddings, and retrieval or ranking models. • Experience applying or fine-tuning Large Language Models (LLMs) for understanding and generation tasks. • Familiarity with prompt design, contextual retrieval, or RAG-style architectures. • Proven ability to translate product goals into technical solutions and deliver measurable improvements in user experience. • Excellent communication, collaboration, and analytical problem-solving skills. Preferred Qualifications • Experience with music, media, or recommendation systems. • Background in semantic retrieval, vector databases, or hybrid search architectures. • Hands-on experience with PyT orch, JAX, or TensorFlow for model training and deployment. • Exposure to evaluation and safety frameworks for LLM-based systems. • Understanding of reinforcement learning from human feedback (RLHF) or preference modeling. • Passion for crafting intelligent, human-centered experiences that enhance music discovery. Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $210,100, 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. 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 .

Overview i3 has an exciting opportunity for a machine learning (ML) engineer to support the development of DoD systems. The ML engineer will develop and program neural network (NN)-based software solutions. Additionally, the ML engineer will aid in the analysis of artificial intelligence (AI)-enabled systems. Pay Range $132,000 - 234,000 The pay range for this position 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) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws. Responsibilities • Prototype and implement software-based ML systems. • Work with ML architect to research applicability of various NN architectures to specific problems. • Python/C++ programming and debug of a NN-based software suite. • Optimization of NN architectures to maximize performance. • Generate technical documentation. Qualifications • Bachelor's degree in electrical engineering, computer engineering, computer science, mathematics, or related field. • Minimum 3 years of experience in a related field. • Experience applying different NN architectures to classification problems. • Ability to create and maintain a research codebase that produces robust and reproducible results. • Experience developing/debugging software in Python and C++. • Working knowledge of at least one ML framework (e.g. Pytorch). • Strong mathematical background (i.e. optimization theory, regularization techniques, linear algebra, etc.). • U.S. Citizenship required. • Other duties as assigned. Preferred Qualifications: • Experience and system knowledge to debug a training run's performance end to end. • Intuition about latency and throughput characteristics of CUDA graphs and tensor core arithmetic. • Experience with VHDL or Verilog. • Experience writing technical documentation. Clearance Requirements: • Ability to obtain a SECRET security clearance About i3 i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers. Perks of being a team member owner include: • Long-term financial security • Higher job satisfaction • Greater job security • Personal and professional growth • Great company culture Other outstanding benefits: • Excellent insurance coverage • 401(k) match • Generous PTO • Health and wellness incentives • Tuition and certification reimbursement • Countless opportunities to give back to the community through i3 Cares We work hard. We compete hard. We play hard. Apply now to join us!

TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI WITH POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED). The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. Select appropriate data sets Perform statistical analysis Run machine learning algorithms Use results to improve models Train and retrain systems when needed Experience in working with various ML libraries and packages Run standard test and evaluation protocols Provide system integration oversight Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements Research and implement a broad range of AI and ML algorithms and tools Design or Select appropriate data and knowledge representation methods Recognize software architecture, data modelling, and data structures Transform and convert data science prototypes into scalable solutions Verify data and model output quality Identify differences in data distribution that affect model performance Compensation: We are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise. Benefits: We offer a comprehensive benefits package, including: • Health Coverage: Medical, dental, and vision insurance • Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance • Retirement Plan: 401(k) plan with company match • Paid Time Off: Generous PTO, paid holidays, parental leave, and more • Wellness: Access to wellness programs and mental health support • Professional Development: Opportunities for growth, including tuition reimbursement Additional Perks: • Flexible work arrangements, including remote work options • Flexible Spending Accounts (FSAs) • Employee referral programs • Bonus opportunities • Technology allowance • A diverse, inclusive, and supportive workplace culture

Find Ai Application Engineer positions in Not Applicable, United States. Browse opportunities on HiringCafe. Apply to remote, hybrid, and onsite positions.

Overview Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation’s security. In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our employees, to our customers and by Improving Performance (ECP). It’s what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results—showing we’re ready to meet our customers’ evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services. Your Main Objective The AI/ML Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The role requires familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through understanding training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may lead geographically diverse teams and often serves as a primary point of contact for AI-related matters, so exceptional analytical, problem-solving and communication skills are required. Expert knowledge of multiple programming languages (e.g., Python, Java, C, R) is a plus. Required Skills • Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow. • Select appropriate data sets • Perform statistical analysis • Run machine learning algorithms • Use results to improve models • Train and retrain systems when needed • Experience in working with various ML libraries and packages • Run standard test and evaluation protocols • Provide system integration oversight • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements • Research and implement a broad range of AI and ML algorithms and tools • Design or select appropriate data and knowledge representation methods • Recognize software architecture, data modelling, and data structures • Transform and convert data science prototypes into scalable solutions • Verify data and model output quality • Identify differences in data distribution that affect model performance Qualifications Five (5) years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master’s or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. An additional 5 years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master’s degree. Clearance Required TS/SCI w/ Polygraph Other Requirements U.S. Citizenship Compensation Spotlight For this role, our typical salary range starts at $210,000 and stretches up to $240,000. We are committed to attracting top talent and offer a comprehensive rewards package, including benefits and opportunities for growth. The description emphasizes that compensation is not the sole factor and highlights the value of culture, impact, and total rewards. Benefits and Programs Compensation: We offer highly competitive compensation that is consistently recognized by our employees as being generous. Health & Retirement: We offer a comprehensive health benefits package and 401K retirement plan so you can take care of yourself and your family. Other health-related benefits include an employee gym wellness benefit, People Partners to help navigate personal and professional needs, and wellness resources through our healthcare provider. Education: Company-sponsored continuing education programs to support degrees and certifications for career progression. Work/Life Balance: Generous paid time off and 11 paid holidays per year, with flexible work options to fit your schedule and lifestyle. Philanthropy: The company participates in charitable activities and encourages employee involvement in community initiatives. Great Corporate Facilities: Corporate office with amenities such as a café, collaboration spaces, and conference rooms. SkillBridge: Program supporting military servicemembers in applying their experience with

An AI/ML Engineer in the health IT domain with experience in HL7 data standards is responsible for designing, developing, training, and deploying machine learning and AI solutions tailored to health IT applications. This role involves working closely with adverse events data, including HL7 and other clinical data standards, to build scalable, accurate, and efficient AI models that improve drug safety, signal detection and operational efficiency. Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Technology, Infrastructure & Engineering, Health, Manufacturing, Public Safety, Consulting, and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental – Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays. As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act. ESSENTIAL REQUIREMENTS • Must possess appropriate level of certifications for this position as required by the contract. • Must be able to obtain a customer clearance for access to facilities, equipment and property. • Strong programming skills in Python, R, or Java with experience in AI/ML frameworks and libraries. • Deep understanding of machine learning algorithms, statistical models, deep learning, and generative AI techniques. • Experience working with healthcare data standards, especially HL7 and FHIR, to process and interpret clinical data. • Familiarity with cloud computing platforms (AWS preferred), containerization, and CI/CD pipelines for AI model deployment. • Knowledge of healthcare workflows, clinical environments, and regulatory compliance (e.g., HIPAA) is essential. • Strong analytical, problem-solving, and communication skills to translate complex AI concepts into clinical applications. • Experience with NLP, computer vision, or other domain-specific AI applications in healthcare is a plus. • Prior work in healthcare or health IT companies, handling large-scale healthcare datasets is preferred. • Hands-on experience with GenAI models, LangChain, VectorDBs, and RAG techniques for advanced AI solutions is preferred. • Leadership or mentorship roles in AI/ML projects within healthcare settings is preferred. ESSENTIAL DUTIES AND RESPONSIBILITIES Essential duties and responsibilities include the following. Other duties may be assigned. • Builds, trains, validates, and deploys machine learning models to solve healthcare-specific problems such as predictive analytics, anomaly detection, clinical decision support, and natural language processing on medical data. • Develops AI/ML solutions that integrate HL7 and other healthcare interoperability standards to ensure seamless data exchange and compliance with healthcare regulations. • Collaborates with clinicians, data engineers, product managers, and compliance teams to align AI solutions with clinical workflows and regulatory requirements such as HIPAA. • Implements and optimizes models using Python, R, Java, or other relevant programming languages and frameworks (e.g., PyTorch, TensorFlow, scikit-learn). • Fine-tunes large language models (LLMs) and leverage generative AI techniques, including Retrieval-Augmented Generation (RAG) and agentic frameworks, to enhance healthcare AI applications. • Conducts rigorous evaluation of AI models using appropriate metrics and continuously monitor and improve model performance in production environments. • Designs and maintains AI/ML pipelines and infrastructure, often utilizing cloud platforms such as AWS, Azure, or Google Cloud for scalable model training and deployment. • Ensures ethical AI use and compliance with healthcare regulations, including data privacy and security standards. • Provides mentorship and technical guidance to junior engineers and contribute to research and development efforts in healthcare AI. PHYSICAL DEMANDS Work is primarily performed in an office environment. Regularly required to sit. Regularly required use hands to finger, handle, or feel, reach with hands and arms to handle objects and operate tools, computer, and/or controls. Required to speak and hear. Occasionally required to stand, walk and stoop, kneel, crouch, or crawl. Must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. Exposed to general office noise with compute

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is currently seeking a seasoned Lead BERT AI & Elasticsearch Integration Specialist (AI/Software Engineer - SME) to steer the integration of BERT AI tools and Elasticsearch into our AWS cloud environment. This pivotal role is instrumental in bridging the gap between stakeholder expectations and development realities, ensuring the seamless deployment and functionality of our machine learning and AI frameworks on the cloud. Key Responsibilities • Spearhead the integration of BERT AI tools into our AWS cloud infrastructure, ensuring the robustness and effectiveness of the deployed solutions. • Liaise with stakeholders to gather requirements, set integration goals, and communicate progress, challenges, and outcomes. • Engage with the development team, providing guidance, support, and direction throughout the integration process. • Get hands-on with AWS cloud technologies, API construction, and search technologies, ensuring optimal performance and alignment with organizational objectives. • Conduct technical reviews, ensuring all integration steps adhere to best practices and standards. • Facilitate knowledge transfer sessions, up skilling the team on BERT AI tools and AWS cloud technologies. Requirements • Bachelor's degree in computer science, Engineering, or related field. Proficient in AWS cloud technologies, with a strong grasp of API construction and search technologies. • Prior experience with BERT AI tools and machine learning platforms is highly desirable. • Experience with large text datasets as well as creating synthetic data files is preferred • Demonstrated leadership experience, ideally in a cloud integration or development lead role. • Ability to work independently with excellent communication and stakeholder engagement skills. • Strong and proactive problem-solving and analytical abilities. Pay And Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment To Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we’ll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. Design and implement effective AI solution architecture or strategy, utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with company's strategies, business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both organization and technical competencies. You Have: • Experience designing and implementing complex enterprise systems, including AI/ML, automation, or intelligent workflow platforms • Experience as a solution or enterprise architect emphasizing data and analytics for enterprise infrastructure in a matrixed organization with legacy systems • Experience with writing code or implementing systems • Experience with data governance, integration patterns, and platform scalability in large enterprises • Experience in translating between technical teams and senior stakeholders, building alignment across teams, and serving as a trusted advisor to senior stakeholders • Experience in creating and communicating complex technical solutions to executive clients in oral and written formats • Ability to reason through architectural trade-offs and technical limitations • Ability to integrate third-party platforms and APIs, such as Salesforce, MuleSoft, AWS, or Azure • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements • Master’s degree in Computer Science, Data Engineering, Information Systems, or Computer Engineering, or Bachelor’s degree and 10+ years of experience in one of these fields Nice If You Have: • Experience with a government cloud platform, such as AWS GovCloud, Azure Government or GCP for Government • Experience with implementing AI/ML in a government cloud platform or the Department of Veterans Affairs preferred • Experience consolidating or rationalizing redundant tools or platforms • Experience building and deploying generative or agentic AI systems into production • Experience in high-visibility, cross-functional initiatives involving business transformation or digital modernization • Experience with AI/ML platform orchestration or intelligent automation at scale • Experience gathering requirements and leading Agile teams • Knowledge of modern software design patterns, such as microservices or event-driven architecture • Ability to act as a bridge between strategy and implementation without day-to-day oversight • Master’s degree preferred Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. 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 $112,800.00 to $257,000.00 (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. AI Solution Architect The Opportunity: Design and implement effective AI solution architecture or strategy, utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with company's strategies, business goals, and key ethical c

A leading insurance company is seeking a Staff Applied Research Scientist to lead AI/ML initiatives that enhance marketing solutions and customer engagement. The role combines technical leadership and mentorship, driving high-impact AI projects in a collaborative environment. The ideal candidate should have extensive experience in applied AI, strong proficiency in Python and SQL, and the ability to communicate complex topics effectively to diverse stakeholders. This opportunity promises a significant impact within the organization.

A leading technology firm in Washington is seeking a Mission Engineer to engage with clients and leverage AI for national security solutions. The role requires active Top Secret clearance and a strong software engineering background, along with skills in AI/ML and data management. Responsibilities include translating mission needs into technical solutions and ensuring impactful product development. This is an opportunity to work within a cutting-edge AI Task Force, driving innovation in national security technology. #J-18808-Ljbffr

A leading technology firm seeks a Customer Success Manager Architect (CSM) focused on AI. This role involves helping clients maximize the value of IBM’s AI products, engaging with various stakeholders, and developing tailored AI solutions. Candidates should have a strong technical background, particularly in data science and programming with Python. Excellent communication skills and the ability to translate complex concepts for clients are essential. This position may require up to 25% travel and is based in multiple IBM offices, including Washington DC. #J-18808-Ljbffr

Job Number: R0233304 AI Solutions Architect, Lead The Opportunity: Design and implement effective artificial intelligence (AI) solution architecture and strategy utilizing approaches of various AI technologies and met hods to address clients' business problems and needs, while complying with the organization's strategies and business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts. Contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies. You Have: • 5+ years of experience with AI, data science, machine learning engineering, and sof tware engineering • 5+ years of experience developing technical solutions in Python, C++, or C# • Experience with autonomy or computer vision project work • Experience with deep learning computer vision, including transformer-based models such as DINO or CLIP • Experience leading sof tware and AI projects • Ability to obtain a Secret clearance • Bachelor's degree Nice If You Have: • Experience with embedded systems programming in C, C++, or Rus t • Experience with GPU programming, including CUDA or RAPIDs • Knowledge of modern sof tware design patterns, including micro-service design, and orchestration in Kubernetes deployment • Ability to gather requirements from customers and lead Agile teams • Master's degree in CS or Statistics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information . 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 $112,800.00 to $257,000.00 (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 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. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will 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.

AI Solutions Architect, Lead The Opportunity: Design and implement effective artificial intelligence (AI) solution architecture and 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. Apply leading-edge principles, theories, and concepts. Contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies. You Have: • 5+ years of experience with AI, data science, machine learning engineering, and software engineering • 5+ years of experience developing technical solutions in Python, C++, or C# • Experience with autonomy or computer vision project work • Experience with deep learning computer vision, including transformer-based models such as DINO or CLIP • Experience leading software and AI projects • Ability to obtain a Secret clearance • Bachelor's degree Nice If You Have: • Experience with embedded systems programming in C, C++, or Rust • Experience with GPU programming, including CUDA or RAPIDs • Knowledge of modern software design patterns, including micro-service design, and orchestration in Kubernetes deployment • Ability to gather requirements from customers and lead Agile teams • Master's degree in CS or Statistics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $112,800.00 to $257,000.00 (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 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. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will 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.

A tech-driven organization based in Washington DC is seeking a Pre-Sales Architect to guide federal agencies in integrating AI solutions. This role requires 5+ years in technical customer-facing positions and exceptional communication skills to articulate complex technical concepts to diverse stakeholders. Compensation ranges from $240,000 to $270,000 annually, and a Bachelor's degree is required. Candidates will work closely with sales and engineering teams to ensure successful AI deployments. #J-18808-Ljbffr

T-Rex Solutions is seeking an experienced and driven AI Solution Architect to play a crucial role in our Business Development and Growth efforts, with a primary focus on technical solution architecture design and buildout, as well as Federal proposal and solution writing. In this dynamic position, you will work closely with clients to identify their technical pain points and needs, creating comprehensive end-to-end Enterprise solutions that lead to successful sales closures and long-term partnerships. Responsibilities: • Develop tailored end-to-end AI/ML solutions to address client needs. • Spearhead technical solutioning for proposals, collaborating with cross-functional teams to deliver comprehensive solutions aligned with customer requirements. • Design, implement, and support AI/ML-driven solutions, including generative AI, predictive analytics, and automation workflows. • Advise customers on AI solution architectures, model selection, data readiness, and integration with existing cloud environments. • Develop proof‑of‑concepts (POCs) showcasing AI capabilities such as LLMs, chatbots, intelligent search, and automated decision systems. • Craft compelling responses to requests for proposals (RFPs) and requests for information (RFIs) from prospects and customers. • Deliver customized product demonstrations for potential customers and partners (virtually and in-person). • Offer in-depth technical support to the business development team and clients throughout the sales cycle. • Assess customers' technical challenges and needs, devising customized selling strategies. • Create and present internal AI solution materials for stakeholders, customers, and senior executives. • Collaborate with clients to identify problems and suggest appropriate solutions. • Analyze competing products and provide competitor insights to marketing and development teams. • Generate, qualify, manage, and offer technical assistance to facilitate deal closures. Requirements: • Familiarity with AI platforms and tools (e.g., Amazon Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face, LangChain). • Hands-on experience implementing AI/ML solutions in production environments, including model deployment, monitoring, and optimization. • Experience translating business problems into AI use cases and delivering measurable outcomes. • Technical writing experience in proposals and white papers (samples requested). • Prior experience in a technical, customer-oriented position, preferably as a consultant for multiple clients. • Experience working with Federal customers and agencies (e.g. DOD, FedCiv, Intel, etc) • BS Degree in a technical field and 10+ years of professional experience. • Excellent presentation skills and experience delivering complex technical and sales-oriented presentations. • Strong time management skills, able to juggle multiple initiatives and deadline-driven workloads while consistently providing outstanding customer service. Desired Skills: • Certification and/or Specialty Certifications in AI. • Active Secret Clearance or higher. • Master's Degree in a technical field T-Rex Overview Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering. T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits. T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. In compliance with pay transparency guidelines, the annual base salary range for this position is $160,000 - $210,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the

• Job ID: J51875 • Job Title: AI/ML Solutions Architect • Location: Washington D.C, DC • Duration: 12 Months + Extension • Hourly Rate: Depending on Experience (DOE) • Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD • Client: To Be Discussed Later • Employment Type: W-2, 1099, C2C Job Description : The AI/ML Solutions Architect will be instrumental in designing and implementing end-to-end artificial intelligence and machine learning solutions for a key Randstad client in the DC area. This role requires an expert-level blend of advanced AI/ML model development (including Generative AI/LLMs, deep learning, and traditional ML), modern software engineering practices, and robust MLOps principles. The Architect will drive platform adoption using Databricks, ensure models are securely deployed via cloud platforms (AWS/Azure) using Docker/Kubernetes and FastAPI, and serve as a technical leader and mentor to junior team members, ultimately enabling self-service capabilities and accelerating the business adoption of scalable AI/ML solutions. Responsibilities Architect and Develop AI/ML Solutions: Design, implement, and deploy advanced supervised and unsupervised models (regression, classification, clustering, time-series forecasting, boosting methods) and complex neural networks (CNNs, RNNs, LSTMs). Lead Generative AI Initiatives: Develop and integrate solutions powered by LLMs and open-source foundation models, applying expertise in prompt engineering, fine-tuning techniques (LoRA, PEFT), and model optimization for performance, latency, and cost. Implement MLOps and Deployment Pipelines: Manage the full model lifecycle and deployment strategy, including model serialization (Pickle, Joblib, ONNX), containerization with Docker and Kubernetes, and building secure, scalable endpoints using FastAPI and serverless functions. Champion Platform Enablement: Drive adoption and utilization of the Databricks platform to accelerate use case development, promote model automation, facilitate AutoML, and create reusable template-based solutions. Adhere to Software Engineering Excellence: Write highly efficient, maintainable Python code (advanced Python skills required), utilizing tools like JupyterLab and VSCode, and enforce Git version control and best practices for testing and quality assurance. Develop User-Facing AI Applications: Build front-end tools and prototypes using Streamlit alongside standard front-end technologies (HTML/CSS/JavaScript) to demonstrate AI capabilities to business users. Provide Technical Leadership & Mentorship: Collaborate effectively with cross-functional teams, mentor junior engineers and data scientists, and establish governance standards for data quality, solution accessibility, and business adoption of AI/ML practices. Qualifications Advanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn. Proven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools (Docker, Kubernetes, Git). Deep expertise in developing and optimizing Generative AI solutions using LLMs and foundation models, including hands-on experience with fine-tuning (e.g., LoRA) and performance optimization. Expertise in cloud platform deployment and infrastructure management on major cloud providers (AWS and/or Azure). Strong functional knowledge of Databricks for data processing, platform management, and accelerating AI/ML development. Experience in data processing, feature engineering, advanced visualization, and communicating complex insights effectively through storytelling. Demonstrated Systems Thinking approach to problem-solving, with the ability to translate high-level business goals into secure, scalable, and viable technical architectures. Excellent communication, collaboration, and mentorship skills, with a track record of driving best practices and team improvement. Equal Opportunity Employer ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive

A company is looking for a Senior Solutions Architect, AI. Key Responsibilities Lead executive level discovery and solution workshops, crafting narratives and demos that connect challenges, solutions, and outcomes Build ROI tied business cases and competitive win strategies, while leading solutioning for complex RFPs Collaborate with Sales to define go-to-market strategies and develop enablement assets, ensuring delivery readiness Required Qualifications Deep experience in localization / globalization and enterprise content workflows Proven track record delivering AI enabled solutions in English and German or French Executive presence with persuasive storytelling skills tailored to stakeholder priorities Strong financial aptitude for creating competitive proposals and negotiating trade-offs End-to-end solution design experience across multi-system landscapes with strong API / integration design skills

The application window will be open until at least February 04, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. "Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act." 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 (statutory, where applicable); 5 days/event (discretionary) • 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: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA. Minimum qualifications: • Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, SRE, or DevOps. • 3 years of experience in Python, and experience architecting scalable AI systems on cloud platforms. • Experience deploying conversational agents using code-based frameworks. • Experience deploying resources via Terraform or similar tools, and automating the setup of agents, functions, and networking. • Experience building full-stack applications that interact with enterprise IT infrastructures. Preferred qualifications: • Master’s degree or PhD in AI, Computer Science, or a related technical field. • Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. • Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time. • Experience troubleshooting live, high-traffic systems during critical windows, and in developing and driving customer projects forward in a timely manner. • Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations. • Ability to build in real-time with customers utilizing modern generative AI tools, and travel up to 50% of the time. About the job As a Field Solutions Architect (FSA) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering life-cycle and the transition from the "Art of the Possible" to real-world business value and scalable, secure AI systems. Focused on leading technical delivery for Conversational AI pilots, you will establish the first Customer User Journeys (CUJs) for our largest customers at their sites, utilizing your understanding of software engineering, MLOps, and cloud infrastructure.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $123,000-$176,000 + 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 • Serve as the lead developer for Conversational AI and Customer Experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable Retur

Artificial Intelligence Solution Architect The Opportunity: The Artificial Intelligence Solutions Architect is responsible for working with clients on technology design and development activities to support digital solutions for enterprise Analytics, artificial intelligence (AI), and machine learning (ML) operations in tactical cloud environments, secure network communications, zero-trust architectures, and designing mission technology stacks for defense clients. They drive and lead the development lifecycle, assess available technologies to select the right solution for the client, and help ensure the successful development of the technology baseline and complete system design. In this role, you'll lead, manage, and grow multi-disciplinary engineering teams to accelerate an organization's ability to perform its mission and deliver rapid capability. You will leverage experience in healthcare management, delivery, regulation, research, or public health responses to define business problems and develop analytics solutions with a focus on operationalizing data analytics, ML models, and AI technologies. You'll organize and lead agile development teams in designing and deploying new software and modernizing outdated systems. In this role, you'll work within a motivated cross-functional team with backgrounds in Agile, data solutions, client collaboration, innovation, user experience, and enterprise IT strategy. You will lead a team of developers, cloud architects, data scientists, and analysts in developing advanced DevOps pipelines and digital solutions. You'll provide thought leadership, drive business growth within the market, and develop and maintain client relationships. You will take an active role in the development, mentoring, and coaching of a team of data scientists, cloud architects, data scientists, developers, and domain experts, work to actively enhance the range of the company, and play a lead role in attracting, developing, and retaining a world-class team of analytics professionals supporting the company's health AI strategy. Join us. The world can't wait. You Have: • 5+ years of experience with analytics and AI delivery in a advising or operational delivery role, including defining strategy, establishing client relationships, and delivering innovative solutions • 3+ years of experience managing development teams with disciplined processes for developing digital systems, DevOps, data analytics, machine learning, and change management • Experience in the application of data science and advanced data analytics to health or medical use cases, including structured, unstructured, or relational and data mining and ML techniques • Experience leading, developing, and mentoring staff at all levels • Experience building an internal capacity to deliver high-quality and highly innovative analytics services • Experience with project management, client relationship building, and executive communication • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements • Bachelor's degree Nice If You Have: • Experience defining cloud architectures • Experience leveraging existing cloud service providers, including selecting existing infrastructure-as-code and cloud services to build a client system • Experience with full-stack requirements generation and development • Ability to lead a multi-disciplinary technical team in defining a technology roadmap for military systems advancement • Ability to achieve on-time and on-budget delivery • Ability to operate effectively in a high-pressure, high-tempo, dynamic environment • Possession of excellent verbal and written communication skills to articulate with both technical and business partners • AI, ML, Data Engineering, or Cloud-based AI platform, including AWS, Azure, or Databricks, Certification Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. 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 p

About the position Geomagical Labs is crafting three-dimensional, AI-powered experiences for tens of millions of users around the world. In partnership with IKEA, our pioneering apps allow customers to scan photorealistic models of their indoor spaces, and interactively reimagine them with new furniture in life-like 3D. We have an opening for a Senior Computer Vision Engineer, with strong Python engineering skills, an analytical mindset, and a strong collaborative behavior – to join our Applied Research team. Responsibilities include researching, designing, coding, testing, and shipping Applied AI solutions. This position could be an opportunity to become an expert practitioner in the fast-moving field of AI. Responsibilities • Be a core team member of the Applied Research team – applying state-of-the-art technologies to our products (e.g. neural network integration & deployment). • Improve today’s auto-furnishing algorithms (results and performance), and lead new developments in home furnishing assistance (e.g. LLM integration). • Develop ML tooling to enhance the productivity and software quality of the research team. • Rapidly harness state-of-the-art ML models & algorithms, and convert them into meaningful proofs-of-concept (POCs) for study and evaluation. • Further develop promising POCs into robust, production-grade solutions for deployment at scale. • Help and coach our Applied Research teams to be more effective & efficient through better software engineering. Requirements • Strong expertise in Python. • Experience developing classical computer-vision algorithms and integrating vision-based neural networks. • Experience building resilient, low-latency, systems & pipelines. • Highly effective, high-EQ communication skills (verbal & written). Nice-to-haves • Entrepreneurial – Strong drive, growth mindset, lives Geomagical cultural values. • Analytical & data driven – Generates analyses & data to assess results. • Great teammate – Positive collaborator, brings out best outcomes from others. • Strategic – Sees the big picture, and creatively maps out solutions. • Reliable operator – In the details, good planner. • Fast learner – Curious & constantly learning. Not ashamed to ask questions/admit errors. Benefits • Base salary ranges from \$170,000 to \$200,000, determined by location, skill, and experience level. • Annual performance bonus, based on team and company OKR success. • Excellent health and retirement benefits. Full medical, dental, and vision coverage. • Strong people-first culture with generous PTO. • Opportunity to work in a dynamic team of successful serial entrepreneurs, software developers, computer vision & AI researchers, and graphics engineers. • The ability to build products and features from the ground up and put them into the hands of millions of people around the world. • Flexible location - team is distributed globally, with regular internet access and ability to overlap with US Pacific and Europe CET work hours.

Join a remote-first AI company with generous equity to build 3D machine perception systems in C++ that replace hardware like LiDAR. Computer Vision Engineer Benefits - Starting Salary $155K - $185K - Equity Includes generous company stock options in a Series A company with revenue - Remote First Always with flexibility to work from anywhere in the US while working on a PST schedule - Comprehensive Medical, Dental, and Vision Insurance - Discretionary PTO policy empowering employees to recharge without guilt or micromanagement. - 401(k) w/ Employer Match Computer Vision Engineer Qualifications - Technical Core Expert in designing and writing production-quality code in C++ for embedded or real-time systems, including GPU optimization. - 3D Expertise Proven experience implementing 3D algorithms (such as VIO, SLAM, multi-view stereo, or 3D reconstruction) with tangible, deployed results. - Problem Solver Driven to analyze performance and failure modes of complex computer vision algorithms in real-world environments. - Mandatory Must be a US Citizen or Green Card Holder (US Person) to comply with ITAR project requirements.

Senior AI Engineer — Real-Time Video Systems Location: Uptown Charlotte, North Carolina We are building a high-performance, GPU-accelerated video intelligence platform operating in latency-sensitive, production environments. This role is for a senior engineer who can independently architect, optimize, and scale real-time computer vision systems without supervision. You will own inference performance, model optimization, and production reliability end-to-end. This is not a research-only role. It is not a “train a model and hand it off” role. You will be responsible for making models fast, stable, and production-ready in live environments. If you thrive on squeezing maximum throughput from GPUs, designing resilient inference services, and making real systems perform under load, this will be a strong fit. What You’ll Own • Architect and optimize GPU-accelerated inference pipelines for high-volume video streams. • Drive performance tuning initiatives: batching strategy, frame stride, memory allocation, quantization, and hardware-level optimization. • Implement and refine object detection systems (YOLO-class architectures or equivalent) with temporal filtering and multi-frame logic. • Reduce false positives through tracking, smoothing, and sequence-aware event logic. • Own latency, throughput, and VRAM efficiency metrics — and improve them. • Integrate inference outputs into distributed, event-driven systems and cloud storage layers. • Design production observability: metrics, logging, alerting, and fault-tolerant execution paths. • Collaborate on dataset refinement and model iteration while maintaining a production-first mindset. • Contribute to containerized deployment and scalable runtime infrastructure. What We’re Looking For • 5+ years building and shipping production ML/computer vision systems. • Demonstrated ownership of performance-critical GPU inference pipelines. • Deep proficiency in Python, PyTorch, and OpenCV. • Strong hands-on experience with: • YOLO-class detection frameworks • ONNX and TensorRT optimization • CUDA-level performance tuning • Model quantization and throughput optimization • Solid understanding of video processing fundamentals: • Frame sampling strategies • Temporal filtering and tracking • Confidence calibration • Multi-stream aggregation • Experience deploying containerized workloads (Docker) in production. • Ability to independently diagnose bottlenecks and implement performance improvements without direction. Ideal Profile • You have shipped production systems that operate continuously under load. • You are comfortable profiling GPU memory and compute usage. • You understand the trade-offs between accuracy, latency, and cost. • You prefer building resilient systems over writing academic experiments. • You require minimal oversight and are comfortable defining technical direction within your domain. Core Technology Environment Python, PyTorch, OpenCV, YOLO-class models, ONNX, TensorRT, CUDA, async I/O frameworks, REST/gRPC APIs, event-driven systems, cloud storage/messaging platforms, Docker, production telemetry tools.

About the Role Applied AI at Uber builds intelligent systems that power critical product experiences across the platform. As an Engineering Manager II - Computer Vision, you will lead a high-performing team of engineers developing state-of-the-art vision and multimodal systems that support large-scale, production-grade applications such as document intelligence, onboarding automation, transcription systems, and other visual AI workflows. You will be responsible for driving technical execution and long-term strategy across computer vision initiatives, partnering closely with Product, ML Infrastructure, and cross-functional stakeholders. This role requires strong technical depth in machine learning systems and distributed production environments, combined with exceptional people leadership and organizational impact. You will shape multi-year technical direction, elevate engineering standards, and ensure your team delivers reliable, scalable, and high-quality AI solutions that drive measurable business impact. What You Will Do: • Lead and manage a team of software and deep learning engineers, delivering high-quality computer vision products and scalable ML systems. • Develop and execute technical strategies that align with business objectives, translating complex product requirements into clear, multi-quarter roadmaps and platform architecture. • Collaborate cross-functionally with Product, ML Infra, Data, and partner engineering teams to drive technical innovation and deliver measurable impact across business units. • Plan, prioritize, and oversee execution, ensuring timely delivery through effective delegation, empowering tech leads, and maintaining high engineering standards. • Mentor, grow, and develop a world-class team of deep learning engineers, fostering a culture of continuous learning, operational excellence, and high performance. Basic Qualifications: • Bachelor's degree in Computer Science, Engineering, or equivalent technical background with exceptional demonstrated impact. • 12+ years of industry experience, including 3+ years leading high-performing engineering teams in large-scale distributed production environments. • Proven track record of delivering sustained business impact over multiple quarters through strong execution and organizational leadership. • Experience driving timely execution through effective delegation, empowering technical leads, and leading cross-team alignment by setting clear priorities and resolving trade-offs. • Demonstrated ability to translate complex business problems into multi-year technical strategies and cross-team platform architectures. Preferred Qualifications: • Strong experience training and optimizing large-scale vision or multimodal models, including Vision-Language Models (VLMs) or foundation models. • Deep understanding of computer vision techniques such as object detection, segmentation, OCR, document layout understanding, and point cloud processing. • Experience working with large-scale distributed systems and real-time data processing environments. • 3+ years of experience managing a team of senior engineers, with demonstrated strength in coaching, career development, and building inclusive, high-performing teams.Experience partnering closely with ML Infrastructure teams to scale training, evaluation, and deployment pipelines. For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

We are seeking an experienced AI/ML Engineer to develop a backend system integrating Retrieval-Augmented Generation (RAG) and Computer Vision. The project involves creating an API-based solution without the need for training models. The ideal candidate will have a strong background in AI/ML technologies and experience with API development.

Are you a skilled and experienced Senior Software Engineer with a passion for computer vision? Do you have experience working in a federal environment and a security clearance? If so, we have an exciting opportunity for you at General Atomics! We are seeking a Cleared Senior Software Engineer to join our team and help develop cutting-edge computer vision solutions for our federal clients. With your expertise and dedication, you will play a crucial role in shaping the future of our nation's defense and security. Join us and be a part of a dynamic team of talented individuals who are committed to delivering high-quality and innovative solutions. Design and develop computer vision solutions for federal clients. Collaborate with a team of engineers to create cutting-edge software solutions. Utilize expertise in computer vision to provide innovative solutions. Work in a federal environment and adhere to all security protocols and procedures. Ensure all software projects meet quality and security standards. Conduct regular code reviews and provide feedback to team members. Stay up-to-date with the latest advancements in computer vision technology. Communicate effectively with team members and stakeholders to understand project requirements and provide updates on progress. Troubleshoot and debug software issues as needed. Mentor and guide junior team members to enhance their skills and knowledge. Participate in meetings and discussions to contribute ideas and suggestions for improving processes and procedures. Adhere to project timelines and deliver software solutions within set deadlines. Continuously strive for excellence in software development and seek ways to improve processes and increase efficiency. Keep track of project progress and report to project managers and other stakeholders. Maintain a high level of professionalism and confidentiality while working on sensitive projects. Represent the company in a positive and professional manner when interacting with clients. Follow all company policies and procedures related to software development, security, and project management. Proactively identify and address potential risks or challenges in project development. Provide technical support and guidance to clients as needed. Take ownership of assigned tasks and ensure their successful completion. General Atomics is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Computer Vision / Machine Learning Engineer (Contract) Contract Length: 6 months Work Arrangement: Hybrid (onsite 3 days/week in Greater Boston) Computer Vision / Machine Learning Engineer to support an active, production-focused initiative. This role is centered on improving detection and tracking accuracy for object-counting systems operating in real-world, high-throughput environments. The ideal candidate has hands-on experience building and deploying computer vision models, working with multimodal sensor data, and optimizing inference pipelines for edge deployment. What You’ll Work On • Enhancing object detection, segmentation, and tracking accuracy in operational systems • Developing and deploying models into validation and pre-production environments • Improving real-time performance and reliability on edge hardware Key Responsibilities • Model Development: Train, validate, and deploy computer vision models, with an emphasis on instance segmentation • Tracking & Fusion: Implement tracking approaches that combine color and depth data to maintain object persistence across frames • Data Quality: Support data curation efforts and audit external annotations to ensure high-quality ground truth • Performance Optimization: Tune inference pipelines for low-latency execution on edge platforms Technical Environment • Computer Vision & ML: Instance Segmentation, Object Tracking • Sensor Data: RGB + Depth (basic multi-sensor fusion) • Edge & Optimization: NVIDIA-based edge hardware, TensorRT or similar acceleration tools Qualifications • Proven experience delivering production-grade ML or CV systems • Strong software engineering fundamentals (version control, testing, CI/CD) • Experience deploying models beyond experimentation into real environments • Ability to meet strict accuracy and performance benchmarks • Comfortable working within cloud-only data environments with controlled access policies Nice to Have • Experience optimizing models for edge or embedded systems • Familiarity with real-time or near–real-time vision pipelines • Background in industrial, robotics, or high-volume operational settings

Description Are you interested in shaping the future of transportation? Consider joining the Leidos team operating FHWA’s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and adoption of emerging technologies, including automation and communication in vehicles and on the roadside. Learn more about: • The Leidos Surface Transportation group: https://www.leidos.com/markets/energy/transportation https://www.leidos.com/markets/energy/transportation/surface-transportation-research • The Saxton Transportation Operations Laboratory: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Location: This role will be expected to work full-time at the customer site in McLean, VA Candidates MUST: This position requires candidates be legally authorized to work in the United States without employer sponsorship AND be currently located in the United States for the current three consecutive years and be eligible for a Public Trust Clearance Position Overview The R&D Solutions Engineer will be part of the Surface Transportation Group within Leidos, a nationally recognized leader in advancing transportation safety, operations, and innovation. The Surface Transportation Group partners with federal, state, and local agencies to deliver next-generation solutions in intelligent transportation systems, connected and automated vehicles (CAVs), traffic operations, human factors research, and transportation safety. Leidos has played a central role in shaping the future of mobility, including developing national standards for infrastructure-to-vehicle communications, advancing traffic simulation and modeling, and supporting the U.S. Department of Transportation’s vision of zero roadway fatalities. The position will work with external organizations – including state and local Departments of Transportation (DOTs) – to identify how computer vision technologies can improve transportation safety and operations and to create business development opportunities in these areas. focus on connected and automated vehicle (CAV) technologies, V2X deployments, advanced traffic management, and technology transfer. The successful candidate will combine strong principal investigator skills with technical depth in Computer vision, stakeholder engagement, and simulation testing. This position requires excellent communication skills, the ability to manage complex, multi-stakeholder projects, and a passion for advancing transportation innovation. Key Responsibilities • Develop and execute strategies for communications, outreach, and technology transfer. • Lead stakeholder engagement across public, private, and research sectors by translating needs into actionable technical and programmatic requirements, and serve as a trusted liaison aligning research, deployment, and policy objectives. • Serve as primary liaison with clients, partners, and stakeholders (DOTs, FHWA, MPOs, industry). • Prepare and deliver high-quality technical reports, presentations, and documentation; ensure risk identification, mitigation, and quality assurance across all deliverables. • Support business development and technology transfer by contributing to proposals, advancing communities of practice, and transitioning research outputs into real-world deployment and operational use. • Execute innovative solutions involving the development and integration of ITS, CDA, and V2X/CV applications through the implementation of cutting-edge and emerging technologies. • Lead delivery of software and system engineering components that incorporate object recognition and automation for transportation applications, ensuring solutions meet both technical requirements and compliance standards. • Serve as a technical lead on medium-to-large, complex projects in partnership with state and local Departments of Transportation (DOTs), providing oversight on design, development, and delivery. Required Education & Experience • Master’s degree with 5+ years of relevant engineering degree; OR Bachelor’s degree with 7+ years of experience transportation technology. • Several years of experience with object recognition and automation in the transportation/automotive domain, including applied use in prototype and/or production systems with at least one of the following types of sensors: camera, lidar, and/or radar. • Hands-on expertise with programming languages such as Python, Java, or C++. • Experience with technology transfer, including training, outreach, and adoption strategies. • Familiarity with systems engineering principles and solutions architecture. • Excellent written and verbal communication skills, with ability to translate technical concepts for non-technical stakeholders. • Strong analytical and problem-solving skills. • Ability to work in a fast-paced environment with travel up t

Description Lead Software Engineer – Computer Vision & Automation (Transportation) Are you interested in improving and shaping the transportation industry with a group of intelligent and motivated individuals?  Consider joining the Leidos team operating the Federal Highway Administration (FHWA)’s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts.  STOL champions the integration of emerging technologies such as cooperative driving automation (CDA) and Vehicle-to-Everything (V2X) to revolutionize transportation. Location: This role will be expected to work full-time at the customer site in McLean, VA Learn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Candidates MUST: All applicants must be legally authorized to work in the United States with proof of legal status and be eligible for a Public Trust Clearance which includes three consecutive years in the United States within the last five years. Leidos is seeking a Lead Software Engineer – Computer Vision & Automation (Transportation) to join a highly successful team in researching and developing Connected and Automated Vehicle (CAV) technologies to shape the future of transportation. We are looking for someone who is motivated by variety, thrives in a challenging environment, seeks professional growth, and will be a key part of a team developing and extending a variety of applications and components to improve results that impact the transportation industry. The successful candidate will work with external organizations – including state and local Departments of Transportation (DOTs) – to identify how computer vision technologies can improve transportation safety and operations and to create business development opportunities in these areas. As new projects are created through these strategic partnerships, the successful candidate will lead these computer vision projects, which will aim to support and optimize the use of advanced transportation technologies such as intelligent transportation systems (ITS), CDA, C-V2X, CAV and AI-driven predictive modeling. Primary Responsibilities: • Lead delivery of software and system components that incorporate object recognition and automation for transportation applications, ensuring solutions meet both technical requirements and compliance standards. • Serve as a technical lead on medium-to-large, complex projects in partnership with state and local Departments of Transportation (DOTs), providing oversight on design, development, and delivery. • Support business development, including proposal writing and client engagement. • Break down program and project-level requirements into actionable engineering tasks, supporting efficient execution by the development team. • Collaborate with program managers, contracting officers, and agency stakeholders to align technical solutions with mission objectives and regulatory frameworks. • Develop and maintain documentation, reporting artifacts, and deliverables required by contract and oversight authorities. • Mentor engineers in applying advanced technologies, automation practices, and secure development principles to government solutions. • Provide accurate cost, schedule, and performance estimates for development tasks. Required Qualifications: • Master’s degree with 5+ years of relevant experience; OR Bachelor’s degree with 7+ years of relevant experience. • 5+ years of experience with object recognition and automation in the transportation/automotive domain, including applied use in prototype and/or production systems with at least one of the following types of sensors: camera, lidar, and/or radar. • Hands-on expertise with programming languages such as Python, Java, or C++. • Strong written and verbal communication skills with ability to collaborate across diverse teams. • Experience with at least one relational database management system (Oracle, MySQL, PostgreSQL, SQL Server, etc.). • Ability to work in a fast-paced, research-oriented environment with travel up to 10% for stakeholder engagement, testing, and site visits. • Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US). Preferred Qualifications: • Proven experience in business development, including identifying new market opportunities, building strategic partnerships, and driving portfolio/revenue growth. • Designing, training, and deploying computer vision models (e.g., YOLO, TensorFlow, PyTorch, Core ML, or OpenCV) for detection, classification, and tracking in real-world environments. • Implementing automation pipelines that integrate recognition systems into business or agency workflows, improving efficiency and accuracy. • Developing and optimizing algorithms for real-time recognition tasks across varied conditions (e.g., lighting, environmental, and sensor constraints).

Overview Description This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. Join a sizeable team of data scientists, research scientists, and machine learning engineers that develop computer vision models on overhead imagery for a high-impact government customer. We own the entire machine learning development life cycle, developing models on customer data: • Exploring the data and brainstorming and prioritizing ideas for model development • Implementing new features in our sizable code base • Training models in support of experimental or performance goals • T&E-ing, packaging, and delivering models We perform this work on both unclassified and classified networks, with portions of our team working on each network. We seek a new team member to work on the classified networks. Three to four days a week, you would travel to the customer site in Northern Virginia to perform tasking as described below. Weekdays when you do not travel to the customer site, you would work from your local Amazon office. You would work collaboratively with teammates to use and contribute to a well-maintained code base that the team has developed over the last several years, almost entirely in python. You would have great opportunities to learn from team members and technical leads, while also having opportunities for ownership of important project workflows. You would work with Jupyter Notebooks, the Linux command line, Apache AirFlow, GitLab, and Visual Studio Code. We are a very collaborative team, and regularly teach and learn from each other, so, if you are familiar with some of these technologies, but unfamiliar with others, we encourage you to apply - especially if you are someone who likes to learn. We are always learning on the job ourselves. Responsibilities • With support from technical leads, carry out tasking across the entire machine learning development lifecycle to develop computer vision models on overhead imagery • Run data conversion pipelines to transform customer data into the structure needed by models for training • Perform EDA on the customer data • Train deep neural network models on overhead imagery • Develop and implement hyper-parameter optimization strategies • Test and Evaluate models and analyze results • Package and deliver models to the customer • Incorporate model R&D from low-side researchers • Implement new features to the model development code base • Collaborate with the rest of the team on long term strategy and short-medium term implementation • Contribute to presentations to the customer regarding the team’s work Basic Qualifications • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • Bachelor's degree or above in computer science, machine learning, engineering, or related fields • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 • Current, active US Government Security Clearance of Top Secret or above Preferred Qualifications • Master's degree or above in computer science, machine learning, engineering, or related fields • Knowledge of machine learning concepts and their application to reasoning and problem-solving • Experience working on multi-team, cross-disciplinary projects • Experience effectively communicating complex concepts through written and verbal communication • Experience in Linux, PyTorch, and Git workflows for MLOps 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 for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington

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. NOTE:  Thank you for your interest in MITRE’s Early Careers opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various roles across the company. If you are selected for consideration for a particular position a member of MITRE’s Early Careers recruiting team will reach out to you.  You can monitor your application status here: Workday (myworkdayjobs.com).   Job Description Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines. As a recent graduate working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following:  • Data analysis and visualization • Augmented decision making and trusted analytics • AI architecture, strategy and policy • AI-enhanced decision making and insights • Generative AI and large language models • Machine learning operations • Applied math, statistics and optimization • Simulation and computational analytics • Systems modeling and analysis • Operational effectiveness and efficiency • Knowledge discovery • Next-gen data environments Basic Qualification • Must have a Bachelor’s, Master’s or PhD degree in Data Science, Artificial Intelligence, Math, Statistics or a related degree/program • Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods • Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting • Sustained excellence in academic performance Preferred Qualifications • Experience having applied data science, artificial intelligence, math, statistics or a related learning to an internship or research/lab position. • Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods • Experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting • Proficiency in one or more of the following: Python (scikit-learn, NumPy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; database design & development (SQL, Neo4J, MongoDB); AWS • Demonstrated interest in serving the public Clearance: In addition to passing MITRE’s employment background check, you may be submitted for a U.S. Government Security clearance.  This is determined by the Department of Defense’s adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $80,000 - $100,000 - $120,000 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regar

Senior Associate, Data Scientist - AI Software Engineering 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 AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle—including code generation, migration, troubleshooting, root-cause analysis, and documentation—leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation • Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: • 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. • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. • Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. • A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. 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 2 years of experience performing data analytics • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) • Experience working with AWS • Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations • Demonstrated expertise in advanced model customization techniques—such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization • Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified 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: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science San Jose, CA: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to wo

Job Family: Software Development & Support Travel Required: None Clearance Required: Ability to Obtain Public Trust The National Library of Medicine (NLM) Office of Computer and Communications Systems (OCCS) is seeking an enthusiastic AI/ML Fresher to join our team. This role offers an exciting opportunity to work on cutting-edge projects that leverage artificial intelligence and machine learning to enhance biomedical information systems. You will collaborate with experienced engineers and data scientists to build intelligent solutions that improve interoperability, search, and user experience across NLM platforms. What You Will Do • Assist in developing and deploying AI/ML models for biomedical data processing and search optimization. • Support natural language processing (NLP) tasks, including entity recognition and semantic search. • Work on data preprocessing, feature engineering, and model evaluation under guidance from senior team members. • Collaborate with cross‑functional teams to integrate AI components into existing applications and APIs. • Document workflows, maintain code repositories, and contribute to testing and validation efforts. What You Will Need • Bachelor’s degree from an accredited university in Computer Science, Data Science, Artificial Intelligence, or a related field. • Minimum TWO (2)+ years of professional experience, preferably in AI/ML development or related software engineering role. • Strong foundation in Python programming and familiarity with libraries such as TensorFlow, PyTorch, or scikit‑learn. • Experience with machine learning concepts (classification, regression, clustering) and practical implementation. • Exposure to NLP techniques and libraries (e.g., NLTK, spaCy, Hugging Face Transformers). • Knowledge of data structures, algorithms, and version control (Git). • Excellent problem‑solving skills and eagerness to learn new technologies. • Must be eligible for a Public Trust clearance and complete federal background screening. What Would Be Nice To Have • Familiarity with AWS cloud platforms and containerization (Docker). • Understanding of RESTful APIs and web application integration. • Understanding of DevOps practices and CI/CD pipelines. • Coursework or projects involving AI in healthcare or biomedical domains. The annual salary range for this position is $74,000.00‑$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include • Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Parental Leave • 401(k) Retirement Plan • Group Term Life and Travel Assistance • Voluntary Life and AD&D Insurance • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts • Transit and Parking Commuter Benefits • Short-Term & Long-Term Disability • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Care.com annual membership • Employee Assistance Program • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) • Position may be eligible for a discretionary variable incentive bonus Guidehouse is an Equal Opportunity Employer – Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. #J-18808-Ljbffr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the job you’re considering We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Your Role • Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment. • Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. • Develop generative and predictive AI models (including NLP, computer vision, etc.). • Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. • Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. • Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. • Deploy AI models into production environments, ensuring scalability, performance, and optimization. • Monitor and troubleshoot deployed models and pipelines for optimal performance. • Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Required Qualifications: • Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. • Experience in model deployment, MLOps, model monitoring, and managing data/model drift. • Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). • Bachelor’s or greater degree in Machine Learning, AI, or equivalent professional experience. • Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. • Experience in model deployment, MLOps, model monitoring, and managing data/model drift. • Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick • Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca • Life and disability insurance • Employee assistance pro • Other benefits as provided by local policy and eligib

Role/Responsibilities: We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc. Responsibilities include: - Exploring and combining rich internal and external textual datasets - Building GenAI solutions, leveraging both internal models and external APIs - Formulating research hypothesis to derive alpha - Post-training models for specific tasks - Benchmarking LLM approaches internal tasks We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact. Requirements: • Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline • Experience in NLP, particularly LLMs. • Proficient in Python, SQL and general software engineering principles (github, testing, etc.) • Data science stack familiarity • Interest in financial markets • Collaborative mindset About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. --------- • Telework: None Basic Requirements: • 2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. • B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required. • 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor's degree. Job Description: • Seeking an AI/ML Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models. • The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. • This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions. Key Responsibilities: • Knowledge and experience of Language models is required • Specific experience with Marian and multi-lingual model development • Knowledge of Computation Linguistics is a plus • Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning • Strong Java, C, C++ programming experience • Willingness to support occasional on-call duties is a plus Model Development & Training: • Build, train, and fine-tune machine learning models, particularly language models • Apply best practices in model training, tuning, and optimization. • Design and implement solutions for model performance improvement. Evaluation & Testing: • Conduct rigorous model evaluation, including performance analysis and benchmarking. • Perform error analysis, debugging, and model diagnostics to ensure quality and reliability. Model Deployment & Integration: • Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models. • Integrate machine learning models into production environments, ensuring seamless integration with other systems. Full-Stack Engineering: • Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end). • Collaborate with software engineers to build scalable and efficient deployment pipelines. Collaboration & Reporting: • Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions. • Document workflows, model design processes, and technical specifications. Technical Skills: • Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. • Expertise in model training, evaluation, and deployment. • Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3. • Experience in developing full-stack software applications (JavaScript, Python, Java, etc.). • Solid understanding of data structures, algorithms, and system design. Experience & Background: • Extensive experience in machine learning model development, including natural language processing (NLP). • Experience with model evaluation, optimization, and performance monitoring. • Proven experience in software engineering with strong coding skills. • Experience working in a government or defense-related environment is highly preferred. Additional Skills: • Experience with model versioning and management using tools such as MLFlow or Git. • Familiarity with containerization tools (i.e. Kubernetes). • Strong problem-solving and analytical skills. • Excellent communication and collaboration abilities. Nice to Have: • Experience with secure data handling and compliance requirements • Experience working with Large Language Models (LLMs) --------- • Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents • available day 1, 8% 401(k) employer match • immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. This is a full time position

Job Overview We are seeking a dynamic and innovative AI/ML Engineer specializing in Natural Language Processing (NLP) and advanced machine learning techniques to join our cutting-edge technology team. In this role, you will develop, optimize, and deploy sophisticated AI models that enhance our data-driven solutions, leveraging big data platforms and state-of-the-art frameworks. Your expertise will drive the transformation of complex data into actionable insights, empowering our organization to stay ahead in a rapidly evolving digital landscape. This position offers an exciting opportunity to work on impactful projects utilizing the latest in AI and machine learning technologies. Duties • Design, develop, and implement NLP models for language understanding, sentiment analysis, and conversational AI applications using frameworks such as TensorFlow and other machine learning tools. • Conduct model training and fine-tuning on large datasets utilizing unsupervised learning techniques to improve accuracy and efficiency. • Build scalable data pipelines with ETL processes to extract, transform, and load data from diverse sources into optimized databases for analysis. • Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless deployment and performance optimization. • Utilize cloud services like AWS for model deployment, management, and scaling of machine learning applications in production environments. • Perform data mining and analysis using SQL, Python, R, SAS, Spark, Hadoop, Talend, and Looker to uncover insights that inform strategic decisions. • Design robust database schemas and implement database design best practices to support large-scale data storage needs. • Develop algorithms for natural language processing tasks such as entity recognition, language modeling, and semantic understanding. • Apply machine learning frameworks like TensorFlow and Spark MLlib to accelerate model development cycles while maintaining high standards of quality. • Engage in continuous research on emerging AI trends including quantum engineering applications relevant to natural language processing and big data analytics. Skills • Proficiency in programming languages such as Python, Java, C, VBA, Bash (Unix shell), with a strong focus on Python for machine learning workflows. • Extensive experience with cloud platforms like AWS for deploying scalable AI/ML solutions. • Deep understanding of NLP techniques including language modeling, text classification, entity recognition, and semantic analysis. • Expertise in machine learning frameworks such as TensorFlow, Spark MLlib, Hadoop ecosystem tools for big data processing. • Knowledge of unsupervised learning methods including clustering algorithms and dimensionality reduction techniques. • Strong background in database design principles along with hands-on experience with SQL databases and linked data concepts. • Familiarity with ETL tools like Talend for efficient data integration workflows. • Experience with analytics tools such as Looker for visualization and reporting of insights derived from complex datasets. • Ability to develop models for deployment into production environments ensuring scalability and reliability. • Understanding of quantum engineering principles as they relate to advanced AI applications is a plus. Join us if you’re passionate about pushing the boundaries of artificial intelligence through innovative NLP solutions! We value energetic problem-solvers eager to make a tangible impact by transforming raw data into powerful insights that shape the future of technology. Job Type: Contract Work Location: Remote

Our story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our Values: Champion People – be empathetic and help create a place where everyone belongs. Grow with purpose – Be inspired by our higher calling of improving lives. Be Alight – act with integrity, be real and empower others. It’s why we’re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work. Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight. Learn more at careers.alight.com. Support Alight’s Generative AI roadmap as an NLP Engineer by designing capabilities and solutions using LLMs and transformer-based architectures. Responsibilities • Evaluate base search appliance configurations and assess their impact on search results. • Review and test the latest Large Language Models and develop capabilities using LLM endpoints. • Design and implement new capabilities and configurations in the OpenSearch environment. • Identify opportunities to improve search and retrieval performance based on client needs. • Provide guidance on conversational AI and related strategy. • Communicate with stakeholders to understand requirements and provide updates. • Submit and track Maestro or JIRA requests. Requirements • 2–5 years of experience in AI technology roles focused on natural language models. • Working knowledge of process mapping and process design. • Experience with Scaled Agile (SAFe). • Strong problem‑solving skills with the ability to align business objectives with data insights. • Completion of a program of study typically requiring four years of post‑secondary education or equivalent. Alight requires all virtual interviews to be conducted on video. Flexible Working So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and “Top 100 Company for Remote Jobs” 5 years in a row. Benefits We offer programs and plans for a healthy mind, body, wallet and life because it’s important our benefits care for the whole person. Options include a variety of health coverage options, wellbeing and support programs, retirement, vacation and sick leave, maternity, paternity & adoption leave, continuing education and training as well as several voluntary benefit options. By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position. Our commitment to Inclusion We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful. At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future. As part of this commitment, Alight will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact alightcareers@alight.com. Equal Opportunity Policy Statement Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state, or local law. In addition, we take affirmative action to employ, disabled persons, disabled veterans and other covered veterans. Alight provides reasonable accommodations to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances,

Position: NLP Engineer for Mission-Critical Data Solutions A leading technology and professional services company in McLean, VA, seeks a Natural Language Process Engineer to turn data into measurable outcomes and deliver innovative solutions. Candidates should have 8+ years of experience in text processing, machine learning, and Agile practices, with a relevant degree. The role offers a salary range of $138,063 to $186,791, plus comprehensive benefits including 401K matching and professional development opportunities. #J-18808-Ljbffr

Description As a Prompt Engineer, you will be responsible for designing and implementing the natural language processing (NLP) and machine learning (ML) models that power our web3 documentation chatbot. You will work closely with our product and engineering teams to ensure that our chatbot provides accurate and helpful responses to user inquiries. Job Location: Remote, within the U.S. If you accept this position, you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections. Responsibilities • Design, develop, and implement custom generative LLMs (e.g. models similar to GPT ) and discriminative LLMs (e.g. models similar to BERT) • Create wrapper apps based on ChatGTP and other LLMs • Design, develop, and implement systems for AI alignment, Reinforcement Learning with Human Feedback (RLHF) instruction models, and AI guardrails. • Conduct rigorous tests to evaluate LLMs across standardized performance benchmarks and custom evaluations. • Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. • Translate technical findings into clear, actionable insights for a non-technical audience • Develop and maintain documentation and best practices for our NLP and ML models. • Collaboratively develop distributed training infrastructure to train and fine tune LLMs • Collaborating closely with our data science and core development teams, you will lead efforts in designing and implementing products from scratch • Collaborate with data science and core development teams to integrate AI technologies into both internal and external tools • Provide technical leadership in AI system audits, model accuracy improvements, and tool deployment • Fine-tune AI models based on real-world performance data and stakeholder feedback Minimum Qualifications: • US Citizenship is required by the federal government for this position • Must be able to obtain Public Trust clearance. • MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply. • Bachelor's degree in computer science or related field • 7 years of work experience as a software engineer or relevant experience • 3+ Strong background in natural language processing, machine learning, and data analysis Preferred Qualifications • 3+ years of experience with Python • 3+ Experience with Azure • Familiarity with popular machine learning (ML) frameworks such as TensorFlow and PyTorch. • Experience with generative large language model (LLM) fine-tuning and prompt engineering • Experience with deep learning frameworks • Ability to work with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners • Demonstrates passion for developing LLM-powered products whether that is through commercial experience or open-source projects you have worked on in your own time • Proven track record of shipping software and successfully released apps (please include names and links on your resume) • Experience in cloud technologies and edge computing relevant to AI deployment • Familiarity with Databricks (Delta Lake, notebooks, clusters, jobs) for large-scale data processing. • Familiarity with CI/CD pipelines • Understanding DevOps best practices. • Familiarity with using Virtual Machine environment. Professional Skills: • Excellent problem-solving skills and the ability to work independently and collaboratively. • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. • Capacity for problem solving • Comfortable with collaboration and open communication across distributed teams Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent r

NLP Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge natural language processing technologies to build scalable, accurate, and production-grade language intelligence systems. As we continue to grow, we’re looking for a skilled NLP Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: NLP Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Natural Language Processing (NLP), Python, NLTK, spaCy, Transformers, Hugging Face, BERT/GPT-based models, Text Classification, Named Entity Recognition, Sentiment Analysis, Information Extraction, Model Training & Fine-Tuning, RESTful APIs, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, CI/CD pipelines, Git, Agile methodologies Again, we work only with direct clients. If you are already on H-1 B and are open to an H-1 B transfer, feel free to apply. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required, so apply only if you are confident and technically strong. We prefer at least 3 to 5 years of real-time experience. Thanks& Regards Best Regards, Sridhar Pagolu Senior Manager Bright Vision Technologies Phone: 908-938-4442 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.