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To support advancements in space sustainability, the full-time remote AI Research Scientist will engage in research and development of AI systems and algorithms, collaborate with cross-functional teams, and contribute to technical publications. Key responsibilities: Conduct research and development of AI models and advanced machine learning algorithms to enhance physics-driven modeling and simulation systems Implement AI-powered simulation tools to support AI workflows, including reinforcement learning and multi-agent systems Collaborate with research, engineering, and product teams to develop AI solutions for mission-critical modeling and decision-support needs Required qualifications: Active US Security Clearance (Secret minimum, Top Secret preferred) Master's degree in a related field with a minimum of 2 years of experience, or a PhD with relevant research projects Demonstrable expertise in AI/ML methodologies such as deep learning, generative models, and reinforcement learning Experience in software development with proficiency in at least one modern high-level programming language (e.g., Python, R, C++, Java) Ability to work effectively within multi-disciplinary teams in a fast-paced environment

Research Engineer – Applied Machine Learning Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems. Responsibilities: • Prototype and optimize algorithms in computer vision and machine learning. • Build scalable training and inference pipelines on cloud platforms (AWS EKS). • Perform data curation, model evaluation, and system integration. • Collaborate with academic and government research partners. Requirements: • BS or MS in Computer Science, Engineering, Applied Math, or related field. • Experience with PyTorch or TensorFlow and scalable model training. • Strong background in algorithms and software design. • Excellent communication and technical writing skills. • U.S. Citizen or Permanent Resident. Preferred: • Experience with geospatial data (PostGIS, GeoJSON, QGIS). • Familiarity with Kubernetes and distributed data systems. Why Novateur? Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

About The Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About The Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In This Role, You Will • Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. • Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. • Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach. • Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions. • Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts. • Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage. • Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight. • Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting. • Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records. • Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty. You Might Thrive In This Role If You Have • Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems. • Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling. • Hands-on experience applying methods such as subgroup and intersectional analysis, adverse-impact testing, equalized-odds and equal-opportunity analysis, demographic-parity assessment, calibration analysis, counterfactual testing, measurement invariance, reliability analysis, and validation studies. • Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness. • Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence. • High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets. • Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows. • Ability to distinguish statistical disparities from their po

Job Title NLP Engineer (Document Intelligence & Automation) Duration 6+ Months Contract (possibility for extension) Location REMOTE Pay Rate $56 /hr W2 Role Overview We are looking for a specialized NLP Engineer to design and implement intelligent solutions that interpret and operationalize complex regulatory documentation for a major Federal Healthcare Agency. The core focus is leveraging NLP and Large Language Models (LLMs) to extract rules, conditions, and compliance logic from large-scale structured and unstructured documents (PDFs, HTML, Policy Manuals) and automating downstream workflows. Key Responsibilities • AI Pipelines Design and build NLP/LLM-driven pipelines to read and interpret federal healthcare manuals, policies, and regulatory guidance. • Logic Extraction Extract complex rules, eligibility conditions, and exceptions from unstructured documentation. • IDP Implementation Implement Document Intelligence / Intelligent Document Processing (IDP) solutions for large-scale content ingestion. • Workflow Automation Convert extracted regulatory logic into machine-readable rules and develop automated workflows using Python and orchestration tools (UiPath, Power Automate). • Stakeholder Collaboration Work with clinical, compliance, and engineering teams to validate rule interpretations and ensure high accuracy. • Auditability Ensure all AI outputs are traceable, auditable, and aligned with federal compliance standards. Required Technical Skills • NLP/LLM Deep experience with frameworks like spaCy, Hugging Face, or Azure OpenAI/OpenAI. • Programming Strong hands-on expertise in Python for text processing and rule extraction. • Automation Practical experience with enterprise automation platforms such as UiPath or Power Automate. • IDP Proven experience with Document Intelligence / IDP platforms and OCR techniques. • Industry Experience Demonstrated ability to process complex regulatory and policy documents, preferably within a regulated industry (Healthcare, Finance, or Gov). Compliance Requirements • Must have resided in the US for at least the last 3 consecutive years. • Subject to a federal background check/clearance process. Desired (Plus) Skills • Experience with healthcare regulations (Medicare, Medicaid, Payment Integrity, or Utilization Management). • Familiarity with Agentic AI, Rule Engines, or Decision Orchestration frameworks. • Cloud experience (AWS preferred).

If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication. We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence. \ N Requirements: Solid fundamentals in mathematics, statistics, and machine learning theory Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc. Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc. Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. English fluency Excellent written and verbal communication skills Other qualifications: Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc. Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc. Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc. Fluency in multiple languages is a plus Demonstrable proficiency in more than one applicable programming languages is a plus \ N Visit and

Build to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is looking for a senior level AI/ML engineer who has a NLP and MLOPS background. Requirements Security Clearance: • Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen Minimum Qualifications: • 10 years experience deploying machine learning algorithms 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 is required • 7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Required Skills: • NBLP • MLOPS This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms. Benefits • Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) • Up to 20% 401k contribution (No Matching Required and Vested from Day 1) • Above Market Hourly Rates • $3,600 HSA Contribution • 6 Weeks Paid Time Off • Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

Description The Government Health and Safety Solutions Operation is on the lookout for a talented Applied Machine Learning Engineer to join our team. This position requires being onsite in Bethesda, MD (with some remote opportunities). Responsibilities Design, develop, and maintain innovative AI/ML solutions that enhance NIH grant application intake, peer review processes, and analytical insights. Utilize NLP and machine learning techniques (including embeddings, classification, clustering, and similarity analysis) for tasks such as reviewer-application matching and document analysis. Construct, evaluate, and continually improve machine learning models leveraging both structured and unstructured data, including text and images. Design and implement efficient end-to-end ML pipelines encompassing data ingestion, preprocessing, feature generation, model execution, evaluation, and output delivery. Debug, test, and optimize ML pipelines to ensure reliable, consistent, and reproducible outcomes. Refine and enhance code for improved performance, scalability, and maintainability. Work with complex datasets, implementing data validation, quality checks, and preprocessing workflows. Conduct experiments to assess model performance, analyze findings, and adjust strategies based on quantitative and qualitative results. Collaborate with multidisciplinary teams to translate business needs into effective AI/ML solutions. Ensure transparency and reproducibility through meticulous documentation and structured workflows. Communicate technical methods, results, and limitations clearly to both technical and non-technical stakeholders. Keep abreast of advancements in applied AI/ML, particularly in NLP, embeddings, and generative AI, and assess their relevance to NIH projects. Required Qualifications Master’s degree in data science, Computer Science, Computational Linguistics, or a related field (or equivalent experience). 3-5 years of relevant experience in applied machine learning, data science, or a related field. Strong programming skills in Python (preferred) and/or R. Proven experience delivering comprehensive ML solutions, including model development, evaluation, and pipeline implementation. Hands‑on experience developing and applying machine learning models. Familiarity with NLP techniques such as text classification and semantic similarity. Experience working in cloud or shared computing environments (e.g., Azure, Biowulf). Proficiency in building and maintaining data processing or ML pipelines. Experience cleaning, preprocessing, and engineering features from real‑world datasets. Ability to debug, test, and improve complex code and workflows. Knowledge of at least one modern ML framework (e.g., PyTorch, TensorFlow, scikit‑learn). Strong analytical capabilities and problem‑solving skills. Excellent communication skills for conveying technical concepts to diverse audiences. Preferred Qualifications Experience with transformer models or large language models in text analysis or document processing. Familiarity with reviewer matching, recommendation systems, or document similarity challenges. Knowledge of distributed data processing tools (e.g., Spark, Dask). Experience with experiment tracking and reproducible workflows (e.g., MLflow). Familiarity with NIH data systems or scientific research datasets. Experience with medical or scientific imaging and AI model evaluation. Understanding of evaluation metrics (e.g., accuracy, precision, recall) and model robustness. If you’re seeking a dynamic role where you can make an impact, we want to hear from you! At Leidos, we value innovation and strive to push boundaries in mission‑focused initiatives.

Senior Product Manager, AI & Developer Productivity Data Strategy Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team As a Senior Manager of Product Management for Inner Loop, you will own the measurement and acceleration of how 14K+ developers write, test, and ship code at Capital One. You'll define the metrics that engineering leaders use to invest, build data products that quantify developer productivity, and shape how the enterprise measures the impact of AI coding tools on the software development lifecycle. By turning developer experience data into actionable insights, you will directly influence how Capital One builds software faster, with higher quality, and less friction. We are looking for a data-driven product leader who is obsessed with measurement methodology and believes that what gets measured well gets improved. Hiring Positions CODE Metrics Own the enterprise's developer productivity measurement platform. You'll define metrics that shape how engineering leaders invest, drive CODE Metrics framework expansion. AI Telemetry Own the unified measurement framework for AI coding tools. You'll define how we measure risk, utilization, and impact of AI across the SDLC, a brand-new space with executive visibility. DX Research Own our in-house telemetry platform developer experience research program. You'll drive coverage across 14K+ developers and turn raw telemetry into enterprise insights. Capital One Product Framework • Human Centered – Obsesses about internal and external customer needs to reimagine and innovate product solutions • Business Focused – Delivers game-changing outcomes by focusing on leverage and execution excellence • Technology Driven – Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value • Integrated Problem Solving – Identifies and resolves complex problems to deliver outcomes while mitigating product risks • Transformational Leadership – Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications • At least 5 years of experience working in Product Management • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications • Experience translating business strategy and analysis into consumer facing digital products • Strong data fluency in SQL, metrics design, and data pipelines • Experience using AI tools like Windsurf, CoPilot, Claude Code and building AI workflows At this time, Capital One will not sponsor a new applicant for employment authorization for this position. Salary & Benefits Chicago, IL: $182,500 - $208,300 for Sr. Mgr, Product Management McLean, VA: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management Plano, TX: $182,500 - $208,300 for Sr. Mgr, Product Management Richmond, VA: $182,500 - $208,300 for Sr. Mgr, Product Management This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits). Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. EEO & Other Policies Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regardi

Role - AI Product Manager (Senior) (1 position) Position Description: The Product Manager is responsible for both product planning and product marketing. This includes managing the product throughout the Product Lifecycle, gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, to deliver winning products. Duties: • Gather requirements from end users and document in a pre-defined format for the development team to build solutions in an agile environment. • Provide detailed level of effort estimates for proposed solutions. • Articulate the benefits and risks to a solution’s feasibility and functionality. • Provide hands-on, expert-level technical assistance to developers. • Provides experience in web application technologies and middleware solutions. • Research new technologies and products for their applicability to business processes. • Must be able to compare various solutions and determine the most suitable. Ensures that development efforts are well planned and in agreement with standards. • Define and track KPIs and success metrics • Use-case discovery, prompt design, and stakeholder alignment. Draft User Stories and Acceptance Criteria, and manage roadmaps. • Strategy & Vision: Define the multi-year AI product strategy, creating roadmaps that align with business goals, such as revenue growth or productivity gains. • Implement responsible AI standards, including model monitoring, bias mitigation, and data security. • Partner with UX, engineering, sales, and legal teams to ensure product compliance, usability, and market adoption. Education: This position requires a Bachelor’s degree from an accredited college or university with a major in computer science, information systems, business, or other related scientific or technical discipline. Five (5) years of equivalent experience in a related field may be substituted for the Bachelor’s degree. A Bachelor’s Degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline. A Master’s Degree is preferred. General Experience: The proposed candidate must have a minimum of five (5) years of experience in product management. ● Technical background as a business analyst ● Strong leadership and communication abilities ● Customer-centric mindset with a passion for solving real-world problems ● Highly organized, self-motivated, and detail-oriented ● Adaptable to fast-changing priorities and environments ● Experience working in Agile/Scrum environments with tools like JIRA, Confluence .. ● Excellent communication, stakeholder management, and problem solving skills ● Ability to connect technical performance to business value. ● Strong leadership, communication, and the ability to work through ambiguity.

Clearance Level: Public Trust US Citizenship: Required Job Classification: Full Time Location: Remote Years of Experience: 5–7 years of relevant experience Education Level: BS or MS in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement. Briefly Describe The Work GITI is seeking a Senior AI/ML Engineer to support an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Senior AI/ML Engineer designs, builds, and validates machine learning models for RF emitter identification, conducts hands-on exploratory data analysis on NDF (Network Description File) sensor datasets, and implements ML data pipelines that operate on constrained tactical edge hardware. Working under the direction of the Principal AI/ML Engineer and program technical lead, the candidate collaborates closely with research scientists and software engineers to translate analytical findings into reproducible, well-documented ML experiments and pipeline components. The role requires strong Python and deep learning skills, comfort with real-world noisy sensor data, and the ability to work in air-gapped Linux environments without cloud infrastructure or GPU acceleration. Responsibilities • Design, build, and validate machine learning models for RF emitter identification — including feature engineering from sensor data, training pipeline development, model evaluation, and iterative refinement based on results • Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks — writing and running analytical code, characterizing feature distributions, identifying data quality issues, and producing documented findings • Implement and maintain ML data pipelines — ingesting NDF sensor streams, applying rollup and preprocessing logic, constructing training datasets, and ensuring pipeline correctness on constrained edge hardware with no cloud dependency • Collaborate with the technical lead and Principal AI/ML Engineer to investigate RF sensor data quality, attribution reliability, and feature behavior under contention — writing code to characterize error sources, validate assumptions, and reproduce findings • Produce clear technical documentation of experiments, model configurations, and results — maintaining reproducibility through disciplined versioning, and contributing to monthly status reports and team knowledge sharing Career level with a complete understanding and wide application of machine learning principles and data science techniques. Working under general direction from the Principal AI/ML Engineer, executes independently on assigned modeling and analysis tasks, contributes to pipeline development, and produces reproducible, well-documented results. Bachelor’s or Master’s (or equivalent) with 5–7 years of hands-on applied experience. Required Skills • 5+ years of hands-on applied experience in machine learning, data science, or RF signal processing • Demonstrated proficiency in Python for ML and data science work — PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling • Hands-on experience designing, training, and evaluating deep learning models — particularly metric learning, Siamese networks, or other similarity-learning architectures — on real-world, noisy, imbalanced datasets • Practical experience handling real-world data quality problems — missing values, label noise, class imbalance, systematic bias, and sensor artifacts — and the ability to diagnose and address them without discarding valid data • Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration — optimizing for CPU-only inference and multi-threaded data processing on resource-constrained x86 hardware Desired Skills • Familiarity with RF signal characteristics, passive receiver phenomenology, and sensor data interpretation — including awareness of processing artifacts, attribution ambiguities, and measurement limits common in signals intelligence datasets • Hands-on experience applying machine learning — particularly metric learning, deep learning networks, or similarity-learning architectures — to RF or time-series signal data, including feature engineering, training pipeline development, and model validation • Exposure to TDMA network protocols or military datalink systems, and interest in learning the signal processing challenges of dense, contested electromagnetic environments • Familiarity with direction-finding, time-difference-of-arrival (TDOA), or related passive geolocation concepts — understanding of their mathematical foundations and common failure modes is more important than operational experience • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput s

Overview BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for better understanding, and assist with building AI tools that automate key processes. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the “ground level” of a new and exciting program with a critical Department of War (DoW) customer. What you will do Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. What you need to have • Must possess a TS/SCI clearance with a CI poly (or ability to obtain) • Bachelor’s degree in data science, data engineering, mathematics, or another related field • Minimum of 3 years of experience conducting analysis using data science or engineering (an additional 4 years of experience may be substituted for the above education requirements) • Deep understanding and experience using Python and/or R • Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics What we'd like you to have • Current CI poly • Master’s degree in data science, data engineering, mathematics, or another related field • At least 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years • Experience working creating products for Object Based Intelligence purposes • Experience within the DoW and/or US Intelligence Community About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai. BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

Job Number: R0242372 Applied Data Scientist The Opportunity: As a data scientist, you're excited about building intelligent systems, not just analyzing data. You're motivated to design, develop , and deploy machine learning and AI-driven capabilities that operate in real-world environments. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you'll transform these data into operational systems by develop ing algorithms, training models, and deploying solutions that perform reliably at scale. On our team, you'll work closely with clients to understand mission needs and translate them into technical solutions. You'll design and implement machine learning models, build supporting data pipelines, and deploy capabilities into production environments. You'll apply a mix of statistical met hods, machine learning, and sof tware engineering to deliver end-to-end solutions. You'll help move beyond analysis to create robust, maintainable AI / ML systems that deliver measurable impact. Work with us as we use data science for good. Join us. The world can't wait. You Have: • 5+ years of experience develop ing machine learning or AI algorithms and applying pre-built models • 5+ years of experience building and deploying ML / AI solutions into production or operational environments • 5+ years of experience designing and implementing end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment • Experience writing production-quality code in languages such as Python • Experience working with structured and unstructured data at scale • Experience applying techniques such as optimization, simulation, or advanced machine learning met hods • Experience working in Linux-based or cloud-based environments • Experience using modern sof tware engineering practices, such as Git, testing, or CI / CD • Ability to obtain a Secret clearance • Doctorate degree in Mathematics, Engineering, or a STEM field Nice If You Have: • Experience with deep learning, reinforcement learning, or advanced AI techniques • Experience building or fine-tuning custom models • Experience with containerization and deployment tools, such as Docker and Kubernetes • Experience with distributed data processing tools, such as Spark and Kafka • Experience integrating ML / AI capabilities into larger sof tware systems • Experience with optimization frameworks or simulation-based modeling • Experience working with Department of War customers • Experience communicating complex technical concepts to non-technical stakeholders • TS/SCI clearance 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 $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with respons

Strategic Analysis, Inc. (SA) is actively seeking a Health Data Scientist to provide technical leadership in data design, evaluation strategy, and clinical realism for a multi‑stakeholder program advancing AI diagnostics for rare diseases. This Science and Engineering and Technical Advisor (SETA) role focuses on ensuring that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real‑world use. In this role, the Health Data Scientist will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will help define what success means for AI diagnostics in rare disease contexts and ensure that technical progress translates into meaningful clinical insight and patient impact. This role is ideal for someone who combines deep experience with healthcare data and AI evaluation with the ability to critically assess methodologies, anticipate failure modes, and translate clinical realities into measurable technical criteria. Roles and Responsibilities Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. Evaluate alignment between technical performance metrics and clinical decision‑making needs, working closely with clinical SMEs. Identify gaps between benchmark performance and real‑world applicability, and advise on corrective actions. Serve as a technical bridge between AI developers, clinical experts, and program leadership. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. Track progress of external partners and identify data‑ or evaluation‑related risks that could impact program outcomes. Produce high‑quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. This role is suited to candidates who: Think deeply about measurement, validity, and scientific rigor. Are comfortable exercising judgment in ambiguous or under‑specified evaluation contexts. Maintain high standards for data quality and methodological integrity. Communicate clearly across clinical, technical, and programmatic audiences. Operate with ownership and accountability in high‑stakes environments. Are motivated by advancing AI systems that deliver real clinical and patient impact, not just strong metrics. Minimum Qualifications PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. Hands‑on experience with EHR, genomic, or multimodal healthcare datasets. Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. Demonstrated ability to critically review and assess technical work across health data and AI domains. Strong understanding of data governance, privacy, and compliance in healthcare contexts. Excellent written and verbal communication skills, with experience producing high‑quality technical materials. Preferred Qualifications Domain expertise in rare disease, diagnostics, or clinical decision support. Prior experience in technical advisory, evaluation, or SETA‑style roles. Experience collaborating closely with clinicians and healthcare stakeholders. Experience working in fast‑paced, multi‑stakeholder, or early‑stage environments. Education: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. Location: Position is remote. Travel: Periodic travel may be required. Clearance: Ability to obtain HHS Public Trust. #J-18808-Ljbffr

Capital One is seeking a Principal Data Scientist specialized in AI Foundations to lead innovations in data-driven decision-making. You will work with cutting-edge technologies and significant datasets, harnessing machine learning to enhance enterprise-level solutions. The ideal candidate will have a strong quantitative background, innovative approach, and experience with tools like Python and AWS. We offer a competitive and inclusive benefits package to support your well-being. #J-18808-Ljbffr

Job Number: R0242343 AI and ML Data Scientist The Opportunity: As an Agentic AI Engineer and Data Scientist for military intelligence, you're excited by the opportunity to design, develop, and deploy advanced AI systems that help analysts transform complex, fragmented information into actionable intelligence. You understand the possibilities created by large language models (LLMs), machine learning (ML), natural language processing (NLP), autonomous workflows, and multi-agent architectures, and you want to apply them to mission-critical national security challenges. In today's contested and information-rich operating environment, military intelligence teams must rapidly make sense of large volumes of structured and unstructured data from multiple sources, formats, and domains. As an AI professional at Booz Allen, you'll help build intelligent systems that support intelligence discovery, analysis, prioritization, reporting, and decision advantage for defense and national security clients. On our team, you'll use your AI, data science, and sof tware development skills to create real-world mission impact. You'll work closely with clients, analysts, engineers, and mission stakeholders to understand operational needs, identify high-value use cases, and develop agentic AI capabilities that can reason over data, orchestrate workflows, retrieve relevant information, generate analytic products, and support human-in-the-loop decision-making. You'll design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission-focused prototypes. You'll help ensure these systems are reliable, explainable, secure, testable, and aligned to operational requirements. Ultimately, you'll help military intelligence organizations use AI responsibly and effectively to accelerate insight, improve analytic tradecraft, and support informed decisions. Work with us as we develop advanced AI capabilities for the mission. Join us. The world can't wait. You Have: • Experience developing, integrating, or evaluating AI, ML, NLP, LLMs, or agentic AI capabilities for mission, operational, or enterprise use cases, and building AI-enabled applications using Python and modern AI / ML libraries or frameworks, including PyTorch, Scikit-Learn, LangChain, LlamaIndex, Hugging Face, or CUDA • Experience developing agentic AI systems, including autonomous or semi-autonomous agents, tool-using agents, multi-step reasoning workflows, task orchestration, retrieval-augmented generation, or human-in-the-loop AI capabilities • Experience analyzing, processing, and integrating structured and unstructured data sources, including intelligence data such as text, reports, messages, met adata, documents, or geospatial data • Experience designing, testing, validating, or evaluating AI/ML systems, including model performance, accuracy, relevance, robustness, hallucination mitigation, or mission-aligned evaluation criteria • Experience supporting military intelligence, defense intelligence, all-source analysis, targeting, indications and warning, collection management, operations intelligence, or national security missions, and developing AI systems for classified, air-gapped, secure, or operationally constrained environments • Experience with prompt engineering, prompt evaluation, model benchmarking, fine-tuning, synthetic data generation, or LLM application development • Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment • Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and production-ready capabilities • TS/SCI clearance • Bachelor's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, or Statistics Nice If You Have: • Experience with distributed data, cloud, or high-performance computing tools, including Spark, Kafka, Hadoop, Hive, EMR, Databricks, Kubernetes, Docker, OpenSearch, Elasticsearch, or similar technologies • Experience developing APIs, microservices, analytic interfaces, dashboards, or production sof tware using FastAPI, Flask, REST services, Git, CI / CD, DevSecOps, Plotly, Dash, Streamlit, Tableau, or Power BI • Knowledge of intelligence tradecraft, analytic standards, military operations, Joint or Combatant Command environments, the intelligence cycle, AI safety, model governance, responsible AI, explainability, auditability, access control, or data security • Ability to collaborate with analysts, engineers, data owners, security teams, and mission stakeholders to deploy AI-enabled capabilities in operational environments • TS/SCI clearance with a polygraph • Master's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, Statistics, or a related field • AI, ML, Cloud Computing, Data Engineering, Cybersecurity, or De

Expedition Technology in Herndon, Virginia seeks skilled engineers and researchers to develop cutting-edge machine learning and computer vision technologies. This role focuses on creating algorithms for data fusion and supporting the Intelligence Community's operational needs. Ideal candidates will have a solid foundation in AI/ML, along with a collaborative mindset to tackle significant national security challenges. We offer comprehensive benefits, including medical, dental, and vision insurance, generous PTO, and a supportive work culture.

We are seeking a Generative AI Specialist to join our Advanced Technology Partner (ATP) team as a Senior Solutions Architect who thrives at the intersection of deep technical work and real-world enterprise impact. In this role, you will act as a trusted technical advisor and hands-on creator for NVIDIA's most sophisticated AI partners. You will lead groundbreaking prototyping and proof-of-concept collaborations that connect partners with key customers to accelerate the transition from concept to production. This outstanding position encourages you to scope, develop, build, and solve challenges alongside partners to leave behind reusable assets and validated solutions. If you want to develop how leading organizations around the globe adopt and deploy AI at scale, we want to meet you. What You'll Be Doing • Partner Alignment: Serve as the main technical contact for sophisticated AI collaborators, leading in-depth technical relationships and coordinating their roadmaps with NVIDIA's platform and emerging technology. • Architectural Leadership: Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures that guide partners from initial concept to production-ready handoffs. • Applied AI Engineering: Build and architect enterprise-grade agentic AI systems, retrieval-augmented generation (RAG) pipelines, and multi-modal workflows, delivering high-performance, GPU-accelerated inference at scale. • Technical Problem Solving: Diagnose and resolve intricate system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment. • Scalable Asset Creation: Produce reusable technical assets, including implementation guides and benchmarks, that accelerate time-to-value for both partners and their customers. • Multi-functional Collaboration: Work alongside NVIDIA’s internal engineering, research, and product teams to resolve critical partner challenges and speed up shared achievements. • Team Growth and Practice Building: Champion team guidelines for technical reviews and discovery, while mentoring new members and participating in hiring panels to expand the team’s depth. • Continuous Innovation: Commit to continuous professional growth through formal AI/ML certifications and special projects that elevate your value within the NVIDIA ecosystem. What We Need To See • 8+ years of relevant engineering experience crafting, developing, and deploying AI/ML systems and sophisticated LLM workflows. • MS or advanced degree in Computer Science, AI, or a related field—or equivalent experience. • Deep proficiency in advanced GenAI techniques, including retrieval-augmented generation (RAG), prompt engineering, and production inference optimization. • Familiarity with agentic AI standards and expertise in building robust, production-grade multi-agent and multimodal architectures. • Hands-on experience with model fine-tuning (PEFT, LoRA), synthetic data generation, and building automated evaluation frameworks. • Strong command of GPU-optimized infrastructure, containerization, and MLOps pipelines for distributed training and inference. • Understanding of AI observability and responsible AI practices, including guardrail implementation and regulatory compliance like GDPR or HIPAA. • Experience bridging cloud and on-premises deployments and familiarity with Physical AI concepts such as edge inference. • Proven track record of communicating complex technical concepts to both developer teams and executive stakeholders. Ways To Stand Out From The Crowd • A tangible body of work demonstrating your builder foundation: open-source contributions, publications, patents, recorded talks, technical blogs, or equivalent public artifacts. • Skilled in NVIDIA's AI software suite including NVIDIA AI Enterprise (NVAIE), NIM inference microservices, NeMo, NeMo Curator, Nemotron model family, NVIDIA Blueprints, TensorRT, Triton Inference Server, CUDA libraries, and NVIDIA Agent Intelligence toolkit (NAI/NAT). Knowledge of new NVIDIA frameworks like NemoClaw/OpenShell. • Experience engaging with Physical AI platforms like NVIDIA Omniverse, Isaac Sim, Jetson edge computing, or in production robotics/autonomous systems implementations. • Active participation in the AI community: conference presentations, open-source project leadership, or recognized expertise in a specific GenAI domain. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at lea

Data and AI Solutions Architect, Lead The Opportunity: We are seeking a Lead Data and AI Solutions Architect to strengthen our technical solutioning, delivery architecture, and growth capabilities across Navy accounts. This role is intended for a senior technical leader who can bridge strategy, architecture, delivery, and business development. The ideal candidate will help shape data, analytics, cloud, AI / ML, and MLOps solutions for larger client opportunities while also improving the technical foundations of active delivery work. The organization has strong data science cap ability to day, but needs deeper architecture and solutioning expertise to pursue larger opportunities, deliver more complete solutions, improve technical design quality, and build reusable offerings that can scale across accounts. You will work closely with account leaders, capture teams, proposal teams, program managers, data scientists, data engineers, cloud engineers, and client stakeholders to define practical, technically-sound solutions that are executable in federal environments. What You'll Work On: • Lead the design of end-to-end data, analytics, cloud, AI / ML, and MLOps solutions for Navy clients. • Translate client mission needs, business problems, and technical constraints into scalable solution architectures. • Define target-state architectures, integration patterns, data flows, platform recommendations, and implementation roadmaps. • Review and improve technical designs across active projects to ensure solutions are scalable, secure, maintainable, and aligned to client needs. • Establish reusable technical standards, reference architectures, delivery patterns, and best practices across data and AI e nga gements. • Provide technical leadership to multidisciplinary teams, including data scientists, data engineers, BI developers, cloud engineers, and program delivery staff. • Identify technical risks early and recommend practical mitigation strategies. • Support capture and proposal efforts by shaping technical solutions for new and recompete opportunities. • Develop solution approaches, technical volumes, staffing models, cost estimates, implementation plans, and architecture narratives. • Partner with account and growth teams to identify expansion opportunities within existing Navy accounts. • Help convert client pain points into credible solution offerings and delivery concepts. • Build reusable solution offerings, accelerators, and architecture patterns that can be leveraged across multiple pursuits. • Participate in client discussions, solutioning workshops, technical exchanges, and verbal presentations, as needed. • Strengthen technical delivery by improving architecture discipline, design review processes, and implementation standards. • Help teams move from point solutions to more complete, enterprise-ready capabilities. • Provide guidance on data pipelines, cloud data platforms, ETL / ELT, analytics environments, MLOps, APIs, and AI / ML deployment patterns. • Support delivery teams in making appropriate tradeoffs across cost, timeline, security, scalability, maintainability, and mission impact. • Mentor technical staff and help grow architecture and solutioning depth across the team. Join us. The world can't wait. You Have: • 8+ years of experience in data, analytics, cloud, AI / ML, sof t war e, or enterprise technology delivery • Experience designing and delivering data or analytics solutions in regulated environments such as the federal of defense environment • Experience with AWS, Azure, Databricks, Python, SQL, ETL / ELT pipelines, and MLOps concepts and delivery patterns • Experience supporting technical solutioning for proposals, captures, growth opportunities, or client expansion efforts • Experience reviewing technical designs and advising delivery teams on architecture improvements • Knowledge of data architecture, cloud architecture, data engineering, analytics platforms, and AI / ML solution patterns • Ability to estimate technical level of effort, staffing needs, delivery timelines, and implementation tradeoffs • Ability to operate across delivery, growth, and leadership contexts • Secret clearance • Bachelor's degree in Data Science, CS, Information Systems, Engineering, Mathematics, Statistics, or Analytics Nice If You Have: • Experience supporting Department of Defense (DoD), Navy, or federal civilian data and analytics programs, mentoring technical teams, or building reusable solution accelerators • Experience with secure government cloud environments, federal data platforms, or DoD enterprise analytics ecosystems • Experience with cybersecurity, RMF, NIST, data governance, data quality, or compliance-driven delivery environments • Experience with BI and analytics tools such as Power BI, Tableau, or Qlik • Experience with APIs, data integration, lakehouse architectures, data mesh concepts, or enterprise data platforms • Experience with GenAI, RAG, LLM-enabled applications, model deploymen

Social Discovery Group seeks a Senior NLP/LLM Engineer to conduct experiments with AI models and optimize them for production. This remote full-time role requires strong knowledge in machine learning, NLP, and proficiency in Python. Key responsibilities include developing evaluation methodologies, collaborating with teams, and enhancing AI capabilities in diverse cultural contexts. We offer 28 vacation days, training bonuses, and health benefits. Join us today! #J-18808-Ljbffr

A defense technology firm seeks a Data Scientist / Engineer to design, develop, and deploy AI-enabled solutions within the Department of Defense. The role requires collaboration with product managers and engineers to transform raw data into insights. Ideal candidates should have over 4 years of experience in data science and machine learning, along with proficiency in Python and SQL. Strong communication skills and a familiarity with cloud-based platforms are preferred. This remote role offers an opportunity to impact national missions. #J-18808-Ljbffr

Description Are you passionate about Generative AI? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock, customize Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam The Generative AI Worldwide Specialist team guides AWS customers on building enterprise-grade GenAI systems. This role will support development of techniques, solutions and architectural blueprints that our customers can use to build their own enterprise-wide Generative AI and Agentic systems in a responsible way, helping them balance democratization of access to GenAI and speed of innovation with following best practices around trustworthy AI, cost efficiency, security, etc. This role specifically will be owning development of best practices around Responsible AI covering such important topics as guardrails, veracity, model evaluations, automated reasoning, fairness, explainability, etc. The role with partner with others on the team to develop comprehensive guidance for AWS GenAI customers using Amazon Bedrock. The deliverables include: helping customers solve complex problems with data science, contributions to the joint technical guidance, architectural blueprints / whitepapers, feedback to AWS Bedrock science teams, thought leadership in the form of public writing and speaking, as well as internal enablement. The role has a global remit. Key job responsibilities • Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and explore new solutions. You will interact closely with our customers and with the academic community. • Thought Leadership – Evangelize AWS features relating to Responsible AI 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 SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements. • Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. Basic Qualifications • 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience • 4+ years of data scientist experience • Experience with statistical models e.g. multinomial logistic regression • 5+ years of management of technical, enterprise customer facing resources or equivalent experience • 7+ years design/implementation/consulting experience of distributed applications • 5+ years of hands-on experience with AI/ML or related technology domain • 3+ years of hands-on experience with Responsible AI Preferred Qualifications • 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience • Experience managing data pipelines • Experience as a leader and mentor on a data science team • Experience architecting, migrating, transforming or modernizing customer requirements to the cloud • Experience with presentations and speaking with executives, IT, management, and developers • BS degree in computer science or equivalent, or 4+ years of technical work experience • History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises • Track record of thought leadership and innovation around Responsible AI. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: J

IBM is seeking a Data Scientist specializing in Artificial Intelligence for their Bethesda, Maryland office. In this role, you will design and deliver AI solutions, focusing on foundation models and cognitive computing. The ideal candidate will have significant experience in research and development, and must possess a TS/SCI clearance. This position involves collaboration on complex AI projects and optimizing solutions using advanced technologies.

Principal Data Scientist, AI Foundations 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. • Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. • Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. • Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. • You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. • You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 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 plus 3 years of experience performing data analytics • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: • Master’s Degree in “STEM” field (Science,

Valiant Harbor International, LLC is looking for a Health Data Scientist in Washington D.C. to lead efforts in data design and evaluation for advancing AI diagnostics in rare diseases. This role combines healthcare data analytics with technical evaluation strategies, aimed at maximizing clinical insights. The ideal candidate holds a PhD and has substantial experience working with health data and AI methodologies. This full-time position is critical for ensuring that AI diagnostics have real-world applicability and clinical impact. #J-18808-Ljbffr

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. We are looking for an existing Data Scientist - AI Trainer to help train AI models. You'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you'll receive an email confirmation, and paid work will become available to you through our platform. Advantages of contracting with us: • Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. • Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home. • Competitive pay: projects are paid hourly, up to $100+ USD per hour. Opportunities for higher bonus rates available for certain projects. • Impact: help shape the future of AI technologies. Responsibilities: • Design and solve diverse coding problems used to train AI systems. • Write clear, high-quality code snippets and detailed explanations. • Evaluate AI-generated code for accuracy, performance, and clarity. • Provide feedback that directly shapes the next generation of AI models. Qualifications: • Fluency in English (native or bilingual level). • Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. • Excellent writing and grammar skills. • A bachelor's degree (completed or in progress). • Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

TechDigital Group is seeking a skilled AI Architect in Washington, D.C. You'll own the AI architecture and design RAG pipelines while ensuring Responsible AI guardrails. Your expertise in cloud-native application architecture and technologies like Python, Azure AI, and MS Copilot Studio will be crucial in this role. Join us to make impactful technology decisions across the full stack.

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

The American Chemical Society is hiring a Product Manager for its Digital Product and Experience team in Washington, DC. This role focuses on leading a portfolio of digital initiatives, requiring a strategic mindset and strong execution skills. The ideal candidate will have 3-5 years of digital product management experience and the ability to navigate through continuous discovery and collaborate across teams. The position offers a hybrid work environment, with a competitive salary range of $125,000 to $145,000 annually, along with comprehensive benefits such as health insurance, paid leave, and retirement benefits. Candidates should be curious, self-directed, and resilient.

We are seeking a Scientific, Engineering, and Technical Assistance (SETA) Support Specialist to join our team in support of a government research organization dedicated to investing in high-risk, high-payoff research programs to tackle some of the most difficult challenges of national security. The successful candidate will support the government program managers in the execution of the lifecycle of various research programs to include development of source selection materials, execution assistance, closeout, and transition. The SETA should be competent in Research and Development (R&D) programmatic reviews and procedures. The candidate will also be responsible for ensuring that project management best practices are followed by the individual programs to include performers, independent verification and validation (IV&V) entities, and within the government research organization itself. The research programs you would support focus on developing advanced sensor and transmission technologies, innovative collection techniques that more precisely target desired information, and methods for collecting information from previously inaccessible sources. Additional efforts explore new approaches for integrating information from multiple sources to improve the quality, reliability, and operational utility of collected data. Responsibilities • Support the program managers in coordination, monitoring, communication, and integration of all technical aspects of the Program lifecycle that includes: • Coordinate across government, academic, and industry research teams. • Review and assess technical deliverables, milestones, and evaluation results. • Track risks, dependencies, and integration issues across performers. • Prepare reports, technical summaries, and briefings for senior leadership. • Serve as a liaison between performers, Test & Evaluation contributors, government and transition partners; • Provide support for program related requirements for systems integration, design, development, modeling and simulation, data analytics and architecture design; • Stay current on advances in technologies relevant to the research programs and perform technical studies as requested on topics of interest to the program managers. • Provide technical support and expertise on new concepts relevant to the program managers. • Support the evaluation of Seedling concepts Qualifications Required: • Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, systems, software) with eight plus (8+) years of work experience in one of these fields, or Masters' degree with two plus (2+) years of work experience. • Two (2) years of experience in the development of trajectory analytics or human mobility modeling. • Two (2) years of experience with R&D of spatiotemporal data modeling. • Two (2) years of experience with R&D of machine learning algorithms. • One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team. • Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules. • Ability to proactively manage multiple, concurrent tasks. • Excellent writing and editing skills. Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources. • Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences. • Strong organizational, problem solving, and time management skills. Must be detail oriented. Desired: • Masters' degree or PhD in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, systems, software) with four plus ( 4+) years of work experience. • Two (2) years of experience with microsimulation of human mobility. • Two (2) years of experience with architectures to support large spatiotemporal data management and processing. • Two (2) years of experience in the Intelligence Community (IC), including experience with requirements, CONOPS, and transition. • Four (4) years of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team. • Four (4) years of experience with R&D of machine learning algorithms. • One (1) year of experience as a Project Manager or Deputy Project Manager • Two (2) years of experience with utilization, development, and management of cloud environments and/or classified commercial cloud environments.

Orchard LLC in Washington, DC is seeking an Artificial Intelligence AI Engineer specializing in Generative AI and Natural Language Programming (NLP). The engineer will design innovative AI solutions to support Federal Government initiatives, with responsibilities in developing NLP systems, integrating AI capabilities, and contributing to mission-critical projects. The ideal candidate possesses strong AI/ML engineering background and proficiency in Python and SQL. This role offers a competitive salary range of $120,000 - $230,000 along with generous benefits and support for professional development.

Founded in 2009, RSC2, Inc. is a Small Business Administration (SBA) Certified HUBZone Professional Services company headquartered in Baltimore, Maryland. RSC2 provides breakthrough expertise, support services, and technologies to make operations, programs and systems of record perform better. Our professional staff is trained to provide world-class services to all types of customers. We uphold the integrity and quality of our work so you can expect only the best from us. RSC2 is seeking an amazingly talented AI Product Manager to join our team in Hanover, MD! Requirements In this role you will get to provide strategic and operational guidance to teams developing AI-enabled solutions. This role is suited for an experienced product-oriented professional who can help shape priorities, align stakeholders, drive disciplined execution, and keep technical efforts focused on mission value. This individual does not need to be a software engineer, but should possess strong technical fluency and enough AI literacy to engage credibly with engineers, data scientists, platform teams, and government leadership. The ideal candidate understands how to translate mission needs into executable plans, keep complex efforts on track, and identify when programs are drifting from useful outcomes. Above all, we want someone with authentic curiosity and passion—someone who actively studies the AI landscape, learns continuously, and brings informed perspective to a fast-changing field. What You'll Be Doing: * Provide SETA advisory support to government leadership and technical teams on AI product strategy, planning, and execution. • Help define and refine AI use cases, product goals, success criteria, priorities, and delivery roadmaps. • Guide teams in aligning AI solution development with mission outcomes, user needs, operational constraints, and program objectives. • Monitor effort execution and help keep teams on track with milestones, dependencies, risks, and decision points. • Support requirements development, backlog shaping, capability prioritization, and stakeholder coordination. • Translate between technical teams and non-technical leadership, ensuring shared understanding of what is being built, why it matters, and what risks exist. • Advise on AI adoption challenges, including scope control, change management, user trust, operational fit, and realistic implementation sequencing. • Review proposed AI solutions for feasibility, mission relevance, and alignment with available resources and timelines. • Support briefings, planning artifacts, concept papers, product documentation, and executive communications. • Help identify when teams need course correction, sharper problem framing, better metrics, or more disciplined execution. What Required Skills You'll Bring: * Active TS SCI w/ CI Polygraph security clearance required ( current under 7 years) • Min 18 years with Bachelors, 15 years with Masters degree in a relevant field such as Business, Engineering, Computer Science, Information Systems, Operations, or related discipline. • Experience in product management, technical program support, capability delivery, or requirements management in a government, defense, or complex enterprise environment. • Demonstrated ability to work with technical teams building software, data, AI, or digital solutions. • Strong understanding of product lifecycle concepts, roadmap planning, prioritization, stakeholder management, and execution tracking. • Familiarity with AI concepts, terminology, current capabilities, and practical implementation challenges. • Ability to advise leadership while also engaging productively with engineers and solution teams. • Excellent written, verbal, and briefing skills. What Desired Skills You'll Bring: * Experience supporting AI, data, analytics, or software modernization efforts. • Familiarity with Agile, SAFe, DevSecOps, or iterative capability delivery models. • Ability to understand technical topics such as LLMs, AI tools, cloud platforms, agentic workflows, evaluation, and data dependencies without needing to be a hands-on developer. • Experience in defense, cyber, or operational mission environments. • Background in technology strategy, innovation support, requirements development, or portfolio management. Work Location: Hanover, MD Employment Type: Full-time, Salary-Exempt Benefits Package: We offer a top tier benefits package which includes medical, dental, vision, PTO, employer matching retirement plan, and more! We are an equal opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If you require a reasonable accommodation to participate in the application or interview process, please contact us at . Salary at RSC2 is determined by various factors including but not limited to location, the particular combination of education, kno

About this role: HHMI has made a landmark $500 million commitment to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus. Janelia has been at the forefront of AI-driven research in biology for more than 15 years. Its forward-thinking structure, centralized funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative, visit ai.hhmi.org. The Artificial Intelligence (AI) Scientist is an outstanding independent scientist who develops, implements, and executes innovative AI-based research projects to make biological discoveries or to generate new research tools. AI Scientists create, lead, or participate in research projects of variable scale, ranging from individual work to HHMI-wide strategic initiatives. The AI Scientist will work closely with scientists from across the broader HHMI community. They participate in, build, or supervise highly collaborative research teams consisting of other scientists, engineers, and technicians. What We Provide: · A competitive compensation package with comprehensive health and welfare benefits. In addition to the base salary described below, this position may also be eligible for incentive pay. · Generous training and travel opportunities to workshops and conferences. · Access to state-of-the-art computational infrastructure and extended capabilities provided through assistance from Janelia’s Support teams and Project teams. · A healthy work-life balance, with on-site childcare, free gyms, on-campus housing, vibrant social and dining spaces, and shuttle-bus service to Janelia from Washington, DC metro area! · Flexible work arrangements are available. · Relocation assistance provided for non-local candidates who wish to transition to the Washington, DC, metro area. What You’ll Do: · Plan, initiate, and rigorously execute independent or collaborative AI-based research; may manage personnel and budgets towards this goal. · Plan and perform scientific duties on new and varied problems where only general objectives are stated. · Closely collaborate with other scientists, engineers, and technicians. · Initiate and remain flexible to transfer between projects and groups as appropriate. · Coordinate broad phases of projects and perform advanced development work to obtain and maintain technical leadership in the field of AI. · May assist HHMI and Janelia leadership in planning and execution of program-wide initiatives; ensures coordination with related efforts or other projects and research areas. · Provide mentoring and leadership to others. · Participate in the review of other projects and scientists and provide input and guidance in a collaborative and constructive way. · Explore and develop new methods, skills, and tools. Make research outputs available through peer-reviewed scientific publications, high-quality datasets, code, and applications. Participate in patent disclosures where appropriate. · Apply AI and computational methods, including generative molecular design, molecular property prediction, and physics-based simulation, to the development of chemical and biochemical tools such as fluorescent probes, biosensors, and imaging agents, working in close collaboration with experimental chemists and protein engineers. · Adhere to the highest academic, scientific, and ethical standards in all professional activities. What You Bring · Ph.D. in Computer Science, AI, Machine Learning, Applied Mathematics, Physics, Chemistry, Chemical Engineering, Computational Chemistry, Biochemistry, Materials Science, or a related field — or equivalent combination of education and experience. · Demonstrated record of rigorous, innovative research evidenced by peer-reviewed publications, high-quality open-source contributions, or impactful scientific applications, typically reflecting 5 or more years of research experience. · Deep expertise in computational chemistry, molecular photophysics, or a closely related field — including experience with excited-state property prediction, fluorescent molecule or biosensor design, photoswitches, or related functional molecular systems, and familiarity with quantum chemistry methods (DFT, TD-DFT, or correlated approaches) for predicting photophysical properties such as absorption/emission spectra, quantum yield, and photostability. Candidates with this foundation who are actively building ML capabilities are strongly encouraged to apply. · Strong working knowledge of AI/ML methods — including deep learning, probabilistic modeling, and generative or optimization-based molecular design — with an emphasis on physics-guided or mechanism-aware approaches suited to data-limited chemical domains. Proficiency in PyTorch, JAX, or equivalent frameworks, and strong progr

Procurement Sciences AI is seeking a seasoned Sr. Product Manager with extensive experience in government contracting and SaaS environments. This pivotal role will involve leading the strategic development of their AI-driven platform, focusing on enhancing offerings in the government sector. Ideal candidates should have over 5 years of experience in product management, proficiency in agile methodologies, and the ability to work with AI technologies. The position offers a competitive salary ranging from $120K to $170K, along with comprehensive benefits and flexible work arrangements.

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

Systems Engineering Services is seeking a SDET with AI/LLM experience based out of the Washington, DC area. Key Responsibilities • Design, develop, and maintain automated test frameworks using Selenium, Cucumber, and Java • Write and optimize complex SQL queries to support data validation and backend testing • Build and manage CI/CD pipelines in Jenkins to support continuous testing • Execute cross-browser and cross-platform testing leveraging SauceLabs • Develop and maintain test scripts in Python as needed • Leverage AI tools and large language models (LLMs) to enhance testing efficiency, test case generation, and overall QA productivity Required Qualifications • Proven experience with Selenium WebDriver and Cucumber (BDD framework) • Strong Java development skills in a test automation context • Strong SQL skills for data validation and database testing • Hands-on experience with Jenkins for CI/CD integration • Experience with SauceLabs for cloud-based test execution • Proficiency in Python for scripting and automation support • Demonstrated experience utilizing AI tools and LLMs in a software development or QA workflow Jake Lutman Technical Recruiter Systems Engineer

Recorded Future in Washington, DC is seeking a skilled software engineer to design, build, and deploy next-gen AI Agent systems for cybersecurity. The ideal candidate has a strong technical background, expertise in Python, and a proven history of delivering complex software solutions. You'll lead projects, integrate AI solutions, and enhance system performance. The position offers a competitive salary range of $129,000 - $193,500, along with benefits including equity and insurance options.

As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. You'll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards. This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight. Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs). Strong programming skills in Python, Java and Go for building scalable ML systems. Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment. Ability to translate product goals into technical solutions, improving user experience. Strong communication, collaboration, and analytical problem-solving skills. In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more. Industrial experience in search, classification, recommendation systems, or related fields. Familiarity with A/B testing and data-driven product development. Passionate about creating products loved by customers at Apple. Bachelor's degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Experience with search or recommendation systems, and semantic retrieval or vector databases. Expertise in transformer architectures, embeddings, and retrieval or ranking models. Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions. Exposure to evaluation and safety frameworks for LLM-based systems. Knowledge of reinforcement learning and other modern post training practices for LLMs. Passion for developing intelligent, human-centered experiences to enhance content discovery.

Bart & Associates, Inc. is seeking a Lead Data Scientist in Suitland, Maryland, to leverage advanced techniques in extracting insights from complex datasets for the U.S. Census Bureau. This role demands deep expertise in machine learning and advanced data science, ensuring compliance with ethical AI standards. The ideal candidate should hold a PhD and have 15+ years of experience, including managing data science projects. Excellent proficiency in programming languages such as Python, R, and SQL is a must.

We are looking for an existing Data Scientist - AI Trainer to help train AI models. You'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you'll receive an email confirmation, and paid work will become available to you through our platform. Advantages of contracting with us: • Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. • Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home. • Competitive pay: projects are paid hourly, up to $100+ USD per hour. Opportunities for higher bonus rates available for certain projects. • Impact: help shape the future of AI technologies. Responsibilities: • Design and solve diverse coding problems used to train AI systems. • Write clear, high-quality code snippets and detailed explanations. • Evaluate AI-generated code for accuracy, performance, and clarity. • Provide feedback that directly shapes the next generation of AI models. Qualifications: • Fluency in English (native or bilingual level). • Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. • Excellent writing and grammar skills. • A bachelor's degree (completed or in progress). • Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves. If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here. Data Scientist TS/SCI (DC/NoVA) Virtualitics introduced Intelligent Exploration to the analytics community through the Virtualitics AI Platform. We are seeking a Data Scientist with TS/SCI security clearance with a strong sense of ownership to join our Platform team. This position has career growth opportunities for those seeking to become Lead Data Scientist and/or Team Manager. As a Data Scientist, you will: • Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers • Work with customer data and own the development of an AI solution from ideation to production • Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers Requirements: • Must have an active TS/SCI security clearance and be willing to work from a SCIF as needed • Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs • Regular travel anticipated to client sites/military bases • Degree in Computer Science • 3+ years of experience writing production ready code in Python • 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc • 1 year of experience deploying a machine learning model in a production environment • 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.) • 3 years of experience with Git (or an alternative version control tool) • 1 year of Experience with Docker and/or Kubernetes • A strong sense of ownership and accountability • Excellent written and verbal communication skills in English Pluses: • Demonstrated experience in leading the development efforts for a project from a SCIF • Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc • 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka • 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) Compensation and Benefits: • Competitive salary/equity/bonus based on experience and education • Full benefits including medical, dental, vision • Unlimited paid time off We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Summary & Responsibilities Qualifications: • Minimum 10 years in technical pre-sales, solutions architecture, or advanced engineering roles at a solutions provider, OEM, cloud provider, or consulting firm. • Hands-on experience designing AI/ML infrastructure and platforms. Must be able to whiteboard an end-to-end AI architecture from GPU cluster design through networking, storage, software staock, MLOps pipeline, and inference deployment. • Working knowledge of NVIDIA DGX/HGX systems, CUDA, AI Enterprise software suite, and partner integration patterns. • Experience with AI workloads across on-premises, cloud (AWS, Azure, GCP), and hybrid environments. Understanding of NCP models, GPU-as-a-service, and sovereign AI infrastructure. • Exceptional ability to translate technical complexity into business-relevant narratives. Strong presentation and whiteboarding skills. • Comfortable operating in a revenue-generating, pre-sales context. Understands that the purpose of technical engagement is to advance deals. • Experience collaborating in co-selling models with sales specialists, field account teams, and partner SE resources. • Bachelor’s degree in computer science, engineering, or related field required. Preferred Qualifications: • NVIDIA-certified or equivalent AI/ML platform certifications. • Cloud architecture certifications (AWS SA Pro, Azure Solutions Architect, GCP PCA). • Prior experience working at a top-tier solutions provider, related OEM, or cloud provider. • Experience designing AI Factory / GPU cluster architectures at enterprise scale. Regional travel up to 40% Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $185,000.00 to $235,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. Want to learn more about Enterprise AI Strategy & GTM Execution? Check us out on our platform: https://www.wwt.com/all-categories/artificial-intelligence The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: • Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program • Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement • Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement • Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! If you have any questions or concerns about this posting, please email taposting@wwt.com. #LI-MG2 Preferred Qualifications Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 15 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Enterprise AI Strategy & GTM Execution team? WWT

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Boston Associate Software Systems, is seeking the following. Apply via Dice today! General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, Google Cloud Platform) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor

Gallup is seeking an AI Research Scientist in Washington, D.C. to design and develop AI systems fueled by extensive behavioral datasets. The ideal candidate will have a strong background in applied AI, knowledge graphs, and experience in the field. This position offers a competitive salary range of $165,000–$225,000 based on experience and qualifications, alongside a comprehensive benefits package, including health insurance and retirement plans.

Position Overview Clearance Level: TS/SCI; US Citizenship: Required. Job Classification: Regular, Full-Time. Location: Reston, VA. Years of Experience: 5-7 Years. Education Level: Bachelor’s degree or Master’s degree required in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Brief Description Global InfoTek (GITI) seeks a Machine Learning (ML) Engineer to research, develop, architect, and integrate ML models, algorithms, tools, and techniques into existing or new environments. The role will involve analyzing large datasets, preprocessing and cleansing data, conducting data integrity and validation, and designing ML models for detection of AI-generated and manipulated imagery or pattern recognition for imagery. Responsibilities Research, develop and integrate ML models and algorithms to address specific problems. Work independently but also participate in project‑wide reviews of requirements, system architecture, and detailed design documents. Apply algorithms to datasets and generate results aligned with project requirements. Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality. Adapt and optimize models for real‑world conditions (compression, noise, format variability). Work with containerized solutions (Docker or similar) to support deployment and reproducibility. Translate research concepts, theory, and technical reports into practical implementations and workflows. Generate technical reports, visualizations, and summaries suitable for stakeholders. Collaborate with internal teams and external partners to support integration and testing. Participate in technical meetings and reviews within secure environments. Required Skills 3+ years of experience in machine learning, computer vision, and data science. Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Ability to understand and implement research‑level algorithms from technical papers and reports. Experience with model evaluation, validation, and performance analysis. Familiarity with Linux‑based environments and version control systems (e.g., Git). Desired Skills Experience with image forensics, alteration detection, or related analytics. Experience working in classified environments. Familiarity with containerization (Docker) and deployment pipelines. Experience handling large‑scale or multi‑format datasets (JPG, WEBP, MP4, AVI).Knowledge of synthetic data generation or explainable AI. Ability to bridge theory and implementation. Strong problem‑solving and analytical skills. Effective communication with both technical and non‑technical stakeholders. Comfortable working in structured, mission‑driven environments. Relevant Certifications Certifications in machine learning, data science, or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, IBM Machine Learning Professional Certificate, Google Professional Machine Learning Engineer Certification, IABAC Certified Machine Learning Expert Certification, etc.). Global InfoTek, Inc. 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, protected veteran status, or disability. Global InfoTek Inc. has an award‑winning track record of designing, developing, and deploying best‑of‑breed technologies that address the nation’s pressing cyber and advanced technology needs. #J-18808-Ljbffr

Description Are you passionate about building solutions for our greatest national security challenges? Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development? Do you value working in a creative and collaborative environment? If so, we're looking for someone like you to join our team at APL. The Threat Analytic Systems (QAI) Group is seeking talented team members who will help provide our nation with ground-breaking capabilities that bridge the gaps between data, the latest developments in technology, and real-world impact of national importance. We need talented engineers, scientists, and developers with curiosity and a drive for learning! As a member of our team, you will… • Apply expertise in artificial intelligence, machine learning, statistical analysis, and/or software development to solve challenging data analysis problems for our sponsors • Research, develop, evaluate, and deploy innovative techniques and technologies in the fields of data science and artificial intelligence • Develop prototype software to gather, process, and analyze intelligence data from various sources • Effectively communicate ideas and results through papers and presentations to technical staff, management, and government decision makers Qualifications You’ll meet our minimum requirements if you have… • A Master's or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field • Experience with artificial intelligence, machine learning, and statistical analysis • Proven track record in designing and developing algorithms and implementing systems for solving interdisciplinary problems • Hands-on experience with Python • Comfort working with loosely defined or high-level requirements • Ability to work on and set priorities for multiple dynamic projects, independently or within a team, to support evolving national security requirements • Strong problem solving, analytical, and organizational skills • Demonstrated initiative • Excellent written and verbal communication skills • Have the ability to obtain a TS/SCI+poly level security 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… • Experience with project management and/or leading technical teams 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 provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistanc

AI/ML startup in the investor relations, sustainability, and shareholder activism space Join an early-stage, VC-backed startup as a Lead Engineer and play a pivotal role in shaping the future of our product and company. We are seeking a technical leader to take our product to the next level. This is a unique opportunity to build software, drive product development, grow a team, and make a significant impact. If you're passionate about data, machine learning, and building technology to solve complex business challenges, we want to hear from you! We’re a team of former consultants, investors, and investment bankers. We are looking to grow our team and are ready to develop our software now that we have conducted significant customer discovery to validate our idea and market solution. Desired Skills and Qualifications: • Software engineer with at least 5+ years of experience • Strong backend programming skills • Strong background in AI/ML and familiarity with the latest models • Strong background in data science and data analytics • Ability to develop sophisticated AI prompts and train open source models • Interest in ESG, investment stewardship, and public markets • Preference for those with Masters Degree or PhD, but not required • Strong problem-solving skills and the ability to work independently as a self-learner • Excellent communication skills and ability to work in a fast-paced, collaborative environment

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

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary MITRE’s Offensive Operations & Effects department, part of the Cyber Operations & Effects Innovation Center, develops advanced cyber capabilities and mission-focused technology solutions supporting national security objectives. Our teams conduct applied research, operational analysis, prototype development, and technical experimentation across offensive cyber operations, digital investigations, reverse engineering, vulnerability research, malware analysis, and cyber-enabled mission support. We leverage emerging technologies, advanced analytics, and artificial intelligence to deliver innovative capabilities designed for real-world operational environments. MITRE is seeking a highly technical Cyber Operations Engineer – focusing on Cyber Operations & AI Innovation to support advanced cyber operations, digital investigations, and applied research initiatives. This role combines expertise in cybersecurity operations, digital forensics, AI/ML technologies, reverse engineering, and mission-focused engineering to develop and integrate innovative capabilities supporting operational cyber missions. The successful candidate will help drive the adoption of AI-enabled solutions for cyber investigations, data analysis, operational automation, vulnerability research, and mission decision support across collaborative R&D and operational environments. Roles & Responsibilities MITRE is seeking strong technical candidates with a background in artificial intelligence to join a research and development team focused on advanced cyber operations, digital investigations, and AI-enabled mission capabilities. The candidate for this position should have familiarity in one or more of the following disciplines: digital forensics, mobile forensics, cloud forensics, reverse engineering, vulnerability research, network packet capture and analysis, IoT investigations, AI/ML development, or cyber analytics. Candidates should also possess a strong interest in applying emerging AI technologies and advanced analytics to operational cyber and investigative challenges. In this role, you will: • Design, develop, and implement advanced cyber and AI-enabled capabilities supporting operational mission objectives and technology innovation initiatives • Lead development and integration of AI/ML tools and supporting infrastructure for cyber operations, digital investigations, reverse engineering, and mission analytics • Identify opportunities for automation, optimization, and data-driven decision-making across cyber operations and digital investigation workflows • Conduct and support digital, mobile, cloud, and network forensic analysis activities in support of mission requirements • Develop prototypes, tools, analytics, and workflows supporting cyber operations, vulnerability research, reverse engineering, and investigative activities • Research and evaluate emerging AI cyber technologies applicable to forensic techniques and/or operational tradecraft • Establish and implement best practices for AI governance, operational security, responsible AI usage, and secure deployment within mission environments • Support sponsor engagements and collaborate with technical representatives, investigators, operators, and multidisciplinary engineering teams • Prepare and deliver technical documentation, assessments, demonstrations, testing reports, and operational briefings to internal and external stakeholders • Provide technical leadership, mentorship, and knowledge transfer to cyber operations and engineering teams • Work independently to rapidly learn new technologies, platforms, operational methodologies, and investigative techniques in evolving cyber mission environments Basic Qualifications • Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related educ

Role: AI Governance Strategist & Solution Architect: Principal Join Slalom's AI team as a Responsible AI Strategist or Responsible AI Technical Solution Architect. If you are passionate about sociotechnical approaches to technology enablement and possess strong critical thinking skills, and risk management experience, this is the role for you. We are looking to build a cohort and a practice and seek passionate colleagues, collaborators, and team mates. As a Responsible AI technical consultant and architect, you will guide clients and deliver complex AI/ML strategies and solutions, with a focus on alignment with governance, oversight, and regulatory expectations. Ideal for those with a strong blend of technical, policy, risk management and business acumen, you'll leverage advanced AI technologies to create impactful solutions and help articulate their benefits to senior executives and delivery and sales teams in a dynamic, multidisciplinary environment. Position Overview: You will play a critical role in ensuring that AI technologies meet emerging regulatory expectations and realize multi-stakeholder value. This role requires close collaboration with various teams and partners to help customers efficiently and securely adopt AI technologies in a compliant and trustworthy manner. Given the complexities across the AI value chain, we welcome submissions from interested candidates across the diversity of sociotechnical interests and expertise, and can work with you to support your career growth through practical applications, team/project-based work and engagement with our leaders and industry experts. Key Responsibilities: • Develop, implement, and integrate strategies, frameworks and guidelines for responsible AI and AI Governance. • Conduct thorough assessments of AI systems to identify impacts and mitigate potential risks, limitations, biases and ethical concerns. • Setting up robust policies, controls, standards, and risk frameworks in collaboration with clients and their risk partners to oversee and ensure AI initiatives agree with organizational values, regulatory requirements, and controls. • Lead initiatives to enhance transparency and explainability of AI systems, making them more understandable and trustworthy for users. • Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools. • Understand and contribute to MLOps, LLMOps, AgentOps, and AI transformations to SDLC to deploy and manage machine learning models and large language models and AI systems • Enable the engineering of AI platforms and architecture with embedded controls, capability, and tooling for security, compliance, and auditability. • Provide training and support to team members on responsible AI principles and practices. • Represent Slalom and support the development of thought leadership by engaging with external stakeholders, including industry groups, academic institutions, and regulatory bodies. • Foster partnerships with third-party vendors, delivery partners, contractors, industry groups, and institutions to ensure client and organizational needs are consistently met. • Advocate for the importance of Responsible AI and Trust and Safety through speaking engagements, publications, and participation at industry events. • Lead client engagements as a Subject Matter Expert in AI Risk Management and Ethics to solve customer problems and translate requirements into actionable solutions • Work within existing technology platforms and business operations to design effective record-keeping, human oversight, observability layers, integrated control architecture and systems of record for robust auditability • Remains up-to-date on the emerging frameworks, standards, policies, technical approaches, AI landscape and related issues by participating in workshops, reading academic research and professional publications, maintaining personal networks, and participating in relevant events Qualifications: • Advanced degree such as an MA or PhD degree in a qualitative or quantitative social science, ethics or philosophy, law, or policy or a technical background in large-scale computing, modeling, data science; or related field. • At least 2 years of work experience on issues pertaining to artificial intelligence, machine learning, generative AI, and responsible AI. Experience with generative AI is required. • Experience in Healthcare, Life Sciences, Banking or any highly regulated industry or sector. • Expertise in privacy, security, cyber, data analytics, risk management, research, accessibility, FinOps, risk modeling, environmental and carbon footprint modeling, software development/coding, or product development. • Knowledge and experience operationalizing responsible AI topics such as evaluation and testing and control integration for AI systems. Expertise in socio-technical aspects of AI (e.g., equity and fairness, RAI red teaming, performance, et

Autodesk is hiring for a role focused on advancing AI through deep reinforcement learning. The position involves developing algorithms for model stability and engaging in rigorous evaluation to ensure readiness for deployment. Ideal candidates will possess strong leadership experience and a solid PhD background in AI or related fields. This role emphasizes collaboration with infrastructure teams and offers the opportunity to impact research visibility through publications and patents. Join Autodesk to help create innovative AI solutions. #J-18808-Ljbffr

Position AI NLP Engineer Jobs Job Description Collaborate on projects that improve generative AI models' abilities to handle specialized legal queries and complex reasoning. Generate training prompts, define evaluation criteria, and correct AI model responses based on your domain-specific legal knowledge. The AI Legal Trainer generates prompts, defines scoring criteria, and corrects AI model responses in legal domains. They contribute domain expertise to help improve generative AI models’ capacity for specialized reasoning. AI Prompt Engineers build custom workflow configurations and extend Magical’s capabilities using AI prompting and internal tools. They work closely with customers to deploy, integrate, and optimize the AI automation platform for specific use cases. The specialist will design structured evaluation scenarios for LLM-based agents, creating test cases that simulate human-performed tasks and establishing gold-standard behavior for comparison. They will annotate tasks, work with developers to refine clarity, and iteratively review and adapt scenarios based on agent outputs. The Prompt Engineer optimizes prompts for generative AI models within NICE's Customer Service Automation applications and collaborates with developers, architects, and product managers to deliver high-quality customer experiences. Responsibilities include diagnosing and resolving prompt-related issues, executing tests for LLM-based systems, updating production prompts, and consulting with teams to address novel requirements. The Acting Teacher - Voice AI Trainer collaborates with AI developers to improve voice recognition and synthesis through expert coaching on accents and regional dialects. They lead voice coaching sessions, refine AI-generated outputs, develop training materials, and document project progress. The Conversational AI Engineer will lead the development of an AI concierge service by designing, optimizing, and implementing conversational flows and integrating advanced language models such as LLMs. They will collaborate with backend teams, manage AI-related data, analyze and improve AI system performance, and maintain thorough documentation. Location Maybe global • Work Type • Remote Solely • #J-18808-Ljbffr Apply tot his job Apply To this Job

Booz Allen Hamilton is seeking a Corporate AI and Machine Learning Engineer to transform data into actionable insights. The ideal candidate will leverage their analytical expertise to support key talent analytics and provide innovative solutions that align with business objectives. With a Bachelor's degree in a relevant field and experience in R or Python, you will play a crucial role in developing people analytics strategies and predictive models. A range of benefits including health, retirement, and professional development opportunities are provided. #J-18808-Ljbffr

Job Number: R0237062 Data Scientist, Lead The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: • 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining • 8+ years of experience with statistical and general-purpose programming languages for data analysis • 8+ years of experience analyzing structured and unstructured data sources • Experience developing predictive data models, quantitative analyses and visualization of targeted data sources • Experience leading a team, including projects and deliverables • Experience leading the development of solutions to complex programs • Experience with natural language processing, text mining, or machine learning techniques • Secret clearance • Bachelor's degree Nice If You Have: • Experience with the development of algorithms leveraging R, Python, or SQL and NoSQL • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL • Experience with Machine Learning, AI or NLP • Experience with visualization packages, including Plotly, Seaborn, or ggplot2 • TS/SCI clearance 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 $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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during i

Description Leidos is seeking a candidate skilled in data visualization and basic analysis to assist the team with accurate analysis and presentation of learning related data. Primary Responsibilities: The Data Scientist will be provided the data related technologies and services that training providers rely on to engage with the workforce, deliver training, and make business decisions. The focus is on advancing learning goals related to a range of learning formats by facilitating data collection, analysis, visualization, and interpretation. We are seeking a candidate skilled in data visualization and basic analysis to assist the team with accurate analysis and presentation of learning related data in order to fulfill stakeholder’s needs and facilitate data driven decisions. The Data Scientist (DS) shall utilize SQL Developer and Python programing languages to extract and transform talent data including the implementation of business rules for how the data needs to be prepared for analytics. They shall use advanced analytics (e.g., AI/ML) in order to respond to complex talent questions, especially as they relate to language and learning. The Data Scientist shall utilize data visualization tools and dashboards to appropriately convey data and respond to leadership requests. The DS shall develop user-friendly, easy to understand reports (e.g., graphs, charts, briefing slides) for clients to meet business needs. The DS shall create, enhance, and maintain data visualizations using Tableau and other tools. (This includes dashboards.) The DS shall assist in the collection of data from a variety of sources and understand the relationship between data sets. In this role, you will: • Provide accurate analyses and results. • Evaluate the use of AI models (e.g., Large Language Models), propose improvements, and identify new models for use in responding to learning and language needs. • Consult with clients to clarify the question they are trying to answer and their analytic needs. • Review data, analytics, and reports for accuracy and integrity. Basic Qualifications: • Must have a TS/SCI with Poly to be considered. • Must have a Bachelor's and a minimum of 12 years relatable experience OR a Masters and at least 10 years of relatable experience. • Experience using Python and SQL Developer programming language to extract, transform, format, and load data from a variety of sources/systems. • Experience working with data pipelines. • Experience identifying and obtaining datasets needed to respond to requests. • Experience performing advance analytics (e.g., Artificial Intelligence) • Experience visualizing data and creating dashboards using Tableau and Tableau Prep. • Experience developing user-friendly, easy to understand reports and dashboards. • Experience using Microsoft Excel to work with data and PowerPoint to create briefing decks. • Experience communicating (written/oral) with clients and team members. Preferred Qualifications: • Demonstrated experience working in a cloud and data lake environment. • Demonstrated experience evaluating, identifying, and implementing AI models. • Demonstrated experience performing basic consulting with clients in order to clarify the needs of the clients. • Demonstrated experience with the Sponsor’s data systems as they relate to language, learning, and/or human resources (HR). • Demonstrated experience working with a learning management system. • Demonstrated experience using JIRA. Certification Requirements: • AWS AI L100 Certification • AWS Cloud Practitioner Certification • Tableau Desktop Specialist If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: June 11, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year

Valiant Harbor International, LLC is seeking a mid-level Health Data Scientist to support AI diagnostics for rare diseases in Washington, DC. The role emphasizes leadership in data design, evaluation strategy, and clinical integration. A PhD and 5+ years of healthcare data experience are essential. Ideal candidates will assess methodologies, ensure quality standards, and produce analytical reports. This full-time position may require public trust clearance. #J-18808-Ljbffr

Principal Data Scientist, AI Foundations 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. • Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. • Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. • Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. • You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. • You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 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 plus 3 years of experience performing data analytics • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: • Master’s Degree in “STEM” field (Science,

A leading consulting firm located in McLean, Virginia, is seeking an experienced Artificial Intelligence Solutions Architect to design effective AI solutions for clients. This role requires strong background in IT systems, cloud environments, and data science, along with a TS/SCI clearance. Competitive salary range of $77,600 to $176,000 based on experience and qualifications. Employees benefit from a supportive work culture and diverse opportunities for professional development. #J-18808-Ljbffr

AI Solutions Architect, Senior Manager 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 the organization's strategies and business goals, and key ethical considerations. Apply advanced theories, principles, and concepts, and contribute to the development of new principles and concepts. Lead the development of solutions to highly complex problems. Work with a wide latitude for unreviewed action or decision, and be responsible for the supervision and development of first-level supervisors or managers. You Have: • 8+ years of experience designing and delivering AI/ML or data-intensive systems • 5+ years of experience in architecture or technical leadership roles • Experience with cloud-native architecture, including AWS such as Bedrock, SageMaker, EKS, IAM or KMS, networking, and observability • Experience briefing executive stakeholders and simplifying complex technical concepts • Knowledge of modern AI and LLM technologies, including retrieval methods, model fine-tuning approaches, quantization or distillation, RL/RLAIF concepts, evaluation techniques, and guardrail patterns • Ability to lead engineering teams and dive into code or architectures, when necessary • Ability to design AI architectures that are secure, scalable, cost-aware, and aligned to DoW operational constraints • Ability to obtain a TS/SCI clearance • Bachelor's degree Nice If You Have: • Experience supporting DoW clients or other federal mission environments • Experience with LangChain or LangGraph, vector stores such as FAISS, Pinecone, and Weaviate, and high-throughput serving, including vLLM and Ray Serve • Experience with multi-cloud, including AWS, Azure OpenAI, GCP Vertex AI, and Oracle • Experience with enterprise data platforms such as Databricks or Salesforce • Experience with public speaking, authorship of whitepapers, conference talks, or similar thought leadership • Experience hiring for, building, or leading technical teams • Knowledge of AI governance, model risk management, NIST frameworks, and DoW security policies • Possession of excellent communication skills 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 $142,900.00 to $266,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. • Remote: If this po

Saic is seeking qualified applicants for various roles related to data, analytics, and AI platform management. Responsibilities include customer relationship management, software engineering, and data/AI solutions. The position requires a Bachelor's degree with significant relevant experience, along with advanced skills in cloud computing and problem-solving. This role may involve remote work, subject to government approval, and offers opportunities in the Washington DC Metropolitan Area.#J-18808-Ljbffr

Applied Researcher II (AI Foundations) Overview: 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 new 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, 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 plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 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

Broughton Group is seeking a research-driven individual to join Reality Labs in Redmond, WA, focusing on pioneering advancements in augmented reality (AR) using AI-enabled display technologies. The successful candidate will collaborate with a team of innovative engineers to develop state-of-the-art optical display systems that enhance AR experiences. Candidates should possess a PhD in optics or related fields and have robust experience with AR systems, optical design, and simulation techniques. A competitive salary of $154,000 to $217,000 per year is offered, along with bonus and equity options. #J-18808-Ljbffr

Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university. The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Scientific Discovery, Engineered Systems, Security & Safety, and People, Policy & Governance. DSAI seeks a Research Software Engineer - Clinical NLP Specialty with strong academic background and relevant experience in industry or academia focused on designing and building state-of-the art clinical NLP systems. This position supports research initiatives in the development and novel application of NLP and large language models to extract insights from unstructured clinical text using techniques such as named entity recognition (NER), negation detection, structured data extraction, diagnosis prediction, risk stratification, temporal reasoning and phenotyping. The successful candidate will play a critical role in designing, implementing, rigorously evaluating, deploying and maintaining robust and scalable NLP pipelines and models to extract meaningful information from unstructured clinical text in secure environments, with the goal of enabling high-impact solutions across a range of biomedical domains. Experience with large language models - such as fine-tuning, prompt engineering, model evaluation, and adapting foundation models for domain-specific clinical tasks - is desirable, particularly in contexts that demand privacy, robustness, and interpretability. The clinical NLP RSE will work closely with clinicians, informatics researchers, data scientists and other RSEs to ensure NLP systems meet application goals with methodological rigor and scientific reproducibility. DSAI engineers are at the forefront of modern data intensive science, where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the DSAI successful. Specific Duties & Responsibilities • The successful candidates will participate in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. • The projects will require development of state-of-the art clinical NLP solutions using the latest deep learning libraries trained on state-of-the-art hardware in secure healthcare computing environments. • Projects will involve analysis of massive data sets either in the cloud or on premises. • Projects will require development of novel NLP software pipelines for processing of unstructured clinical notes. • Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. • They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, efficiency, reusability, robustness, portability, documentation, etc.). • It is a high-level goal of DSAI to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Special knowledge, skills, and abilities • Strong NLP, LLM, machine learning and deep learning skills. • Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. • Expert-level knowledge of multiple modern NLP and LLM libraries and models. • Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications, with attention to data efficiency, interpretability, and reproducibility. • Demonstrated expertise in prompt engineering, evaluation, and benchmarking of large language mo

If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication. We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence. \n Requirements:• Solid fundamentals in mathematics, statistics, and machine learning theory • Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation • Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc. • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc. • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. • English fluency • Excellent written and verbal communication skills Other qualifications:• Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc. • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics • Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc. • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc. • Fluency in multiple languages is a plus • Demonstrable proficiency in more than one applicable programming languages is a plus \nVisit www.entefy.com and www.entefy.com/blog

Job Description Designs and implements effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Applies advanced consulting, extensive technical expertise, and full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction. Mentors and may supervise team members. , Required Skills 6+ years of experience implementing enterprise IT systems, applications, and infrastructure 4+ years of experience in AI and Data Science using Python programming and big data technologies, including Hive, Q, Bedrock, PySpark, Synapse, or Databricks Experience with the Amazon AI product tool suite - Sage Maker studio, as well as Bedrock Experience in architecting and implementing a highly available, scalable, and resilient enterprise cloud environment Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements Experience in training LLMs Knowledge of Big Data solutions and data migration technologies, and processes Ability to deploy a production application to an AWS cloud environment , Additional Details Here’s why you’ll love working with us: • Mission Impact: Your work will directly support secure, enterprise-scale AI and cloud capabilities that enable advanced analytics and operational decision-making. • Technical Leadership: Lead cloud and AI modernization efforts in complex, high-security environments. • Innovative Work: Design and deploy LLM-driven and big data solutions using modern AWS AI services and distributed data technologies. • Collaborative Culture: Work alongside architects, engineers, and data scientists in a team-focused environment that values knowledge sharing and excellence. • Values-Driven Leadership: Join a company that prioritizes kindness, accountability, and professional growth while delivering impactful innovation. , About Bravo Consulting Group Bravo Consulting Group is a global leader in Microsoft technology consulting, specializing in simplifying how clients create, share, and secure intelligent information. For nearly two decades, we’ve empowered organizations across federal, state, local, and commercial sectors with innovative solutions. Our commitment to Kind Leadership and Impactful Innovation defines who we are. We believe in developing talented individuals and creating a culture where collaboration drives results. Join us and become part of a team that’s not only transforming businesses but also uplifting those around us.

Senior Manager, Data Science - AI Foundations 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 AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. • Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. • Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. • Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. • You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. • You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics • A PhD 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 • At leas

A leading financial services company seeks a Principal Associate, Data Scientist in McLean, VA. You will leverage AI and machine learning technologies to drive data insights and create innovative data-driven solutions. The ideal candidate has a strong background in data analytics, statistical modeling, and Python, with a desire to solve complex problems and collaborate with cross-functional teams. Competitive salary and performance-based incentives are included in the comprehensive benefits package. #J-18808-Ljbffr

Mashgin is seeking a passionate Computer Vision Engineer in Palo Alto, CA. You will develop innovative Computer Vision algorithms in a collaborative environment that values hard work and impact. The ideal candidate should have over 4 years of coding experience and a Master's degree in Computer Science, with skills in C/C++, Python, and Deep Learning. The position offers a competitive salary from $180,000 to $260,000 annually along with excellent benefits.

Aledade, Inc. seeks a Senior Technical Product Manager to enhance technical, service, and content solutions for Medicare patients. Responsibilities include overseeing patient engagement optimization, collaborating with analytics teams, and managing A/B testing programs to ensure data-driven decision-making. The ideal candidate should have 8+ years of product management experience, expertise in multi-channel outreach, and strong analytical skills. This role offers the flexibility to work remotely within the U.S. or from headquarters in Bethesda, MD.

Job Number: R0241835 AI Model SME The Opportunity: As an experienced engineer, you understand that modern mission systems depend on the ability to develop, optimize, and deploy AI/ML models that can operate reliably at scale. Your expertise in analyzing datasets, engineering features, and applying advanced statistical and machine learning techniques will be critical to ensuring model readiness and enhancing real-world operational outcomes. We need your technical depth and problem‑solving mindset to advance the development, deployment, and continuous improvement of AI models that directly support evolving mission needs. As an AI Model SME on our team, you’ll design, test, optimize, and operationalize models across cloud, edge, and hybrid environments. You will drive the technical direction for mission‑critical AI solutions by selecting best‑fit architectures, implementing robust deployment pipelines, and integrating models with enterprise and mission systems. You’ll collaborate closely with data engineers, data scientists, cloud and network architects, and ISSE partners to ensure models are supported by secure, scalable infrastructure and high‑quality data pipelines. You’ll also contribute technical leadership by evaluating emerging AI/ML frameworks, guiding feature engineering approaches, supporting fine‑tuning and retraining cycles, and implementing monitoring frameworks to detect performance drift. Your expertise will help mission partners understand and navigate the rapidly evolving landscape of AI/ML technologies, ensuring deployed models remain performant, reliable, and aligned with operational objectives. Work with us to solve complex real‑world challenges and shape the model lifecycle strategy that will drive innovation across mission environments. Join us. The world can’t wait. You Have:  • 6+ years of experience with engineering • Experience developing, training, validating, and deploying AI/ML models across cloud, edge, or hybrid environments • Experience with data preprocessing, feature engineering, and exploratory data analysis • Experience optimizing AI/ML models including compression, pruning, quantization, and distributed training • Experience with computing, storage, and networking requirements across model training, tuning, and inference phases • Knowledge of statistical modeling, machine learning workflows, and model evaluation techniques • Ability to design and implement model deployment pipelines and MLOps workflows • Ability to implement monitoring frameworks for detecting model drift, performance degradation, and operational issues • TS/SCI clearance with a polygraph • HS diploma or GED Nice If You Have:  • Experience with distributed compute frameworks such as Ray, Spark, or Horovod for large-scale model training • Experience with cloud-native AI platforms including AWS Sagemaker, Azure ML, or GCP Vertex AI • Experience deploying AI/ML models to edge devices or tactical and operational environments • Experience with common ML frameworks such as PyTorch, TensorFlow, or Scikit-learn • Experience working in mission-focused or national security environments • Experience with vector databases, data lakehouse architectures, or streaming data systems • Experience evaluating new AI model architectures such as LLMs or diffusion models and conducting model benchmarking • Knowledge of secure AI engineering best practices such as adversarial robustness, model governance, or NIST AI RMF • Possession of strong programming skills in languages such as Python • Bachelor’s degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annuali

Principal Associate, Data Scientist - Frontier AI in Customer Protection 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 Retail Bank Customer Protection Data Science team has a relentless focus on innovation with a passion for improving customer experiences around fraud prevention. This team is focused on detecting and thwarting fraud and scams that target our customers and threaten their financial well-being and feelings of safety. Detecting and preventing fraud behaviors as early as possible helps keep customer funds secure and enables the Bank to grow with confidence. Our team is constantly investing to improve and complement existing model-based defenses with the latest and greatest techniques from industry and academia. We use data to proxy the real world signals that help us find fraud and engineer our way to using this in production with SQL and Python-centric methods. Role Description In this role, you will: • Leverage a broad stack of technologies — Python, Conda, AWS, Spark, Gremlin, NeptuneDB, and more — to build knowledge graphs and graph algorithms that uncover hidden connections in structured and unstructured data • Pilot graph modeling algorithms through all phases of development, from design through training, evaluation, validation, and implementation • Connect your deep technical modeling expertise to the pressing business goals of our fraud prevention strategy partners to create exciting solutions to demanding challenges • Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading fraud defenses The Ideal Candidate is: • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. • 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. • 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 5 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 plus 3 years of experience performing data analytics • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) • At least 3 years’ experience with Knowledge Graphs or similar data • At least 1 year experience working with Graph database management (NeptuneDB, Neo4j, etc) • At least 1 year experience working with Graph query languages (Gremlin, Cypher, etc) • At least 1 year of experience working with AWS • At least 3 years’ experience in Python, Scala, or R • At least 3 years’ experience with SQL 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 w

About the Opportunity:  Seekr is building trusted, explainable AI solutions for mission-critical environments. We are seeking a Solutions Architect to help U.S. Government customers understand and adopt our AI platform and mission-specific solutions to address complex operational challenges. In this role, you will partner with Sales to lead technical discovery, frame customer challenges, and define solution approaches that align directly to mission priorities. Your focus is to translate advanced AI capabilities into clear, actionable outcomes, helping stakeholders understand what is possible, why it matters, and how to move forward with confidence. You will develop deep expertise in Seekr’s technology and government-focused solutions, applying that knowledge to design and deliver targeted demonstrations and proof-of-concepts that show measurable, real-world impact. Working closely with Data Science, Engineering, and Product teams, you will ensure solutions are both compelling and operationally viable in secure environments. This role requires structured thinking and strong executive communication. You will create clear, decision-oriented artifacts and deliver high-quality presentations that connect technical capabilities to mission outcomes. Success in this role is defined by your ability to shape opportunities, influence strategy, and enable customers to confidently adopt AI solutions that deliver meaningful mission impact. Duties and Responsibilities: • Lead technical discovery engagements with U.S. Government customers, defining mission needs, constraints, and success criteria • Translate customer challenges into structured solution approaches, including architecture and implementation pathways • Design and deliver targeted demonstrations, prototypes, and proof-of-concepts that clearly illustrate the value of Seekr’s platform and government-specific solutions • Develop concise, decision-oriented artifacts – including solution architectures, diagrams, and briefing materials – that accelerate customer understanding and alignment • Present to executive stakeholders, communicating complex technical capabilities in a clear, credible, and mission-relevant manner • Drive technical strategy in partnership with Sales to shape opportunity strategy, refine positioning, and drive technical win strategies across the deal lifecycle • Drive alignment across internal teams (Sales, Product, Engineering) to ensure cohesive solutions • Support proposal and capture efforts, contributing to technical volumes, solution narratives, and overall response strategy • Build and sustain trusted customer relationships by demonstrating domain awareness, technical credibility, and a consistent focus on mission outcomes • Mentor junior Solution Architects and Solution Engineers, establishing best practices for discovery, solutioning, and customer engagement • Drive cross-program technical alignment by creating reusable architectures, patterns, and accelerators that improve delivery consistency and speed. • Serve as the primary technical advisor throughout pre-sales engagements, maintaining strong follow-through, responsiveness, and attention to detail across multiple concurrent opportunities Qualifications and Skills: • Active US Security Clearance (TS / SCI eligibility strongly preferred) • 8+ years’ experience in a customer-facing Solutions Architect, Sales Engineer, or similar pre-sale’s role within U.S. Government environments • Experience defining reusable assets (technical sales assets, architectures, frameworks, etc.) that scale across customers or mission areas • Demonstrated success leading large, complex pursuits or strategic accounts. • Strong communication and executive presence, with the ability to clearly convey complex technical concepts to both technical and senior stakeholders • Experience designing and delivering demos and proof-of-concepts that demonstrate real-world impact • Collaborative mindset with the ability to operate effectively across Sales, Data Science, Product, and Engineering teams • Ability to create clear, structured artifacts (e.g., architectures, solution flows, demonstrations) that drive customer understanding and alignment • Working knowledge of AI/ML concepts and terms and experience architecting solutions on cloud platforms (AWS, Azure, OCI), particularly in secure environments • Strong organizational skills and ability to manage multiple diverse engagements with consistency and attention to detail • Experience supporting complex proposals, RFP responses, and capture efforts • Self-starter with high accountability, a collaborative mindset, and a bias for action • BS or MS in Computer Science, Engineering, or related field (or equivalent experience) About the Company: Seekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides se

Amazon is seeking an AI/ML Specialist Solutions Architect for the National Security Specialists Solutions Architecture Team. This role involves designing generative AI solutions leveraging AWS to enhance government operations. Candidates should have strong expertise in AI/ML technologies, excellent communication skills, and the ability to engage with various stakeholders at all levels. The position offers a competitive salary range of USD 153,600 – 207,800 annually, along with a comprehensive benefits package including stock options and flexible spending accounts.

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Senior AI compute Engineer to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers. Academic, Enterprise and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent communication skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation What you will be doing: • Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. • Be the domain expert with partners during planning calls through implementation. • Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world! • Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: • 8+ years providing in-depth support and deployment services; solving problems for hardware and software products. • Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). • Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)). • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience. • Scripting proficiency (Bash, Python, Ansible, etc.). Experience with schedulers such as SLURM, LSF, UGE, etc. • Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. • An ability to travel to customer sites within the United States up to 30% of the time. • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. Ways to Stand out from the crowd: • InfiniBand experience. • Experience with GPU (Graphics Processing Unit) focused hardware/software. • Experience with MPI (Message Passing Interface). • Storage technologies such as Lustre or GPFS. • Familiarity with OEM GPU platforms • Strong channel sales and services knowledge and partner co-selling experience This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA collaboration. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Research Engineer – Computer Vision & Geospatial AI Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are seeking a Senior Research Engineer to lead R&D efforts in computer vision and spatiotemporal reasoning. You will architect solutions that merge machine learning, sensor fusion, and geospatial analytics for real-world systems. Responsibilities: • Lead development of AI systems for multi-camera tracking, geo-localization, and scene reasoning. • Design cloud architectures for scalable ML pipelines. • Mentor junior engineers and collaborate across teams. • Contribute to publications, proposals, and technical leadership. Requirements: • MS or PhD in Computer Science, Electrical Engineering, or related discipline. • Proven expertise in deep learning, computer vision, or spatiotemporal data modeling. • Experience leading technical efforts from concept to deployment. • U.S. Citizen or Permanent Resident. Preferred: • Familiarity with AWS EMR, container orchestration, and distributed learning. • Strong publication record or open-source contributions. Why Novateur? Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

About the Opportunity:  Seekr is building trusted, explainable AI solutions for mission-critical environments. We are seeking a Solutions Architect to help U.S. Government customers understand and adopt our AI platform and mission-specific solutions to address complex operational challenges. In this role, you will partner with Sales to lead technical discovery, frame customer challenges, and define solution approaches that align directly to mission priorities. Your focus is to translate advanced AI capabilities into clear, actionable outcomes, helping stakeholders understand what is possible, why it matters, and how to move forward with confidence. You will develop deep expertise in Seekr’s technology and government-focused solutions, applying that knowledge to design and deliver targeted demonstrations and proof-of-concepts that show measurable, real-world impact. Working closely with Data Science, Engineering, and Product teams, you will ensure solutions are both compelling and operationally viable in secure environments. This role requires structured thinking and strong executive communication. You will create clear, decision-oriented artifacts and deliver high-quality presentations that connect technical capabilities to mission outcomes. Success in this role is defined by your ability to shape opportunities, influence strategy, and enable customers to confidently adopt AI solutions that deliver meaningful mission impact. Duties and Responsibilities: • Lead technical discovery engagements with U.S. Government customers, defining mission needs, constraints, and success criteria • Translate customer challenges into structured solution approaches, including architecture and implementation pathways • Design and deliver targeted demonstrations, prototypes, and proof-of-concepts that clearly illustrate the value of Seekr’s platform and government-specific solutions • Develop concise, decision-oriented artifacts – including solution architectures, diagrams, and briefing materials – that accelerate customer understanding and alignment • Present to senior government stakeholders, communicating complex technical capabilities in a clear, credible, and mission-relevant manner • Own technical solution strategy for deals, including architecture definition and approach • Initiate and lead cross-functional discussions with Data Science, Engineering, and Product teams to ensure solutions are feasible, scalable, and aligned to customer requirements • Contribute to proposal and capture efforts, contributing to technical volumes, solution narratives, and helping to shape the response strategy. • Build and sustain trusted customer relationships by demonstrating domain awareness, technical credibility, and a consistent focus on mission outcomes • Mentor junior Solution Architects and Solution Engineers, establishing best practices for discovery, solutioning, and customer engagement • Leverage and contribute to reusable assets, patterns, and accelerators that improve delivery consistency and speed • Lead end-to-end customer engagements across multiple concurrent opportunities, ensuring consistency, scalability, and alignment to enterprise mission needs Qualifications and Skills: • Active US Security Clearance (TS / SCI eligibility strongly preferred) • 6+ years’ experience in a customer-facing Solutions Architect, Sales Engineer, or similar pre-sale’s role within U.S. Government environments • Strong communication and presence, with the ability to clearly convey complex technical concepts to both technical and senior stakeholders • Experience designing and delivering demos and proof-of-concepts that demonstrate real-world impact • Collaborative mindset with the ability to operate effectively across Sales, Data Science, Product, and Engineering teams • Ability to create clear, structured artifacts (e.g., architectures, solution flows, demonstrations) that drive customer understanding and alignment • Working knowledge of AI/ML concepts and terms and experience architecting solutions for cloud platforms (AWS, Azure, OCI) • Experience supporting proposals/RFPs • Strong organizational skills and ability to manage multiple engagements with consistency and attention to detail • Self-starter with high accountability, a collaborative mindset, and a bias for action • BS or MS in Computer Science, Engineering, or related field (or equivalent experience) About the Company: Seekr is a leader in explainable and trustworthy artificial intelligence designed to power mission-critical decisions in enterprises, government, and regulated industries. SeekrFlow™, our end-to-end AI platform, provides secure, auditable AI solutions tailored to sectors where transparency, accuracy, and compliance are paramount. Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact soci

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 in

540 is seeking a Senior Solutions Architect (AI/ML & Cloud) to support a high-visibility Department of War initiative within the Chief Digital and Artificial Intelligence Office (CDAO) Test & Evaluation (T&E) organization. This role will help advance next-generation capabilities across cloud-native platforms, AI/ML systems, DevSecOps practices, and data-driven mission applications that support critical test and evaluation efforts. As a trusted technical leader, you will partner with government stakeholders, engineers, and architects to design and deliver scalable, secure, and resilient solutions that accelerate innovation and enable the adoption of emerging technologies across complex defense environments. Location: Arlington, VA with hybrid work at the Pentagon Citizenship & Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoW Top Secret clearance Education Requirement: Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related 540 Internal Thrive Level: Senior Solutions Architect WHY 540? 540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation – we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems. HOW YOU'LL DRIVE IMPACT • Serve as a hands-on technical leader, actively designing, prototyping, and building cloud- and AI-enabled solutions while providing architectural guidance and mentorship to engineering teams • Lead the architecture, design, and delivery of cloud-native solutions supporting mission-critical modernization initiatives across federal and defense environments • Provide technical leadership and strategic direction to engineering teams while helping expand technical capabilities, project scope, and customer impact • Advise and lead teams on integrating AI/ML capabilities, MLOps processes, and advanced analytics solutions into enterprise applications and mission workflows • Support business growth activities through technical strategy, solution development, proposal support, and customer engagement • Partner with customers, technical teams, and stakeholders to define technology roadmaps, solution architectures, and implementation strategies aligned to mission objectives • Guide cloud migration and modernization efforts, helping organizations adopt scalable, resilient, and secure AWS-based platforms • Architect and champion DevSecOps practices, CI/CD automation, Infrastructure as Code (IaC), and modern software delivery methodologies to improve speed, quality, and reliability • Design secure, cloud-native application and data architectures leveraging containerized platforms, Kubernetes, and modern engineering best practices • Collaborate with software, data, and platform engineers to deliver scalable solutions that support data-driven decision-making and operational effectiveness • Establish engineering standards for automated testing, quality assurance, system reliability, and continuous improvement across development teams • Apply Zero Trust principles, cloud security best practices, and federal cybersecurity requirements throughout the solution lifecycle REQUIRED SKILLS & EXPERIENCE • 10+ years of experience designing, developing, and implementing enterprise technology solutions, including at least 3 years of experience supporting federal, defense, or national security environments • Experience designing, developing, and integrating AI/ML solutions, MLOps capabilities, data platforms, and advanced analytics solutions • Demonstrated experience leading and growing technical teams, with the ability to expand both project scope and delivery capabilities • Extensive experience leading Amazon Web Services (AWS) cloud migration, modernization, and cloud-native transformation efforts • Experience building and deploying AI/ML solutions using AWS services such as Bedrock, SageMaker, or equivalent platforms • Experience supporting data engineering, data science, and analytics platforms • Demonstrated experience implementing and managing DevSecOps methodologies, CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation), and automated deployment frameworks • Experience with Kubernetes and containerized platforms • Proven experience designing and implementing automated testing frameworks supporting functional, integration, regression, performance, and security testing • Experience incorporating automated testing, quality assurance, and reliability practices within modern software delivery pipelines • Experience developing technical architectures, solution designs, and modernization roadmaps • Experience leading technical discussions with executive stakeholders, customers, and mission partners • Knowledge of cloud security architectures, Zero Trust principles, and federal cybersecurity requirements • Strong understanding of Agile software development methodologies and software engineer

AT&T is looking for an AI Research Scientist in Chantilly, Virginia. This role involves conducting AI research to solve complex challenges within defense environments, requiring a Master’s degree and over 10 years of experience. The ideal candidate will work in a customer-facing role supporting federal defense clients, advancing AI algorithms, and developing innovative solutions. The position offers a competitive salary of $210,000 - $253,798 and extensive employee benefits including medical coverage, a 401(k) plan, and educational support. #J-18808-Ljbffr

At Praxis Sourcing & Consulting, we help great companies hire great people. By working with a carefully chosen network of clients and talent, we create trusted relationships that give us the freedom to be transparent with our talent pipeline! BB6 Defense is a high-performance partner in defense and government contracting, built around elite execution and mission-first thinking. The company operates with a clear standard: bring top-tier talent directly inside the mission and deliver results where it matters most. What sets BB6 apart is its leadership—optimistic, transparent, and deeply committed to both the mission and the people executing it. The culture is built on trust, accountability, and a shared belief that great teams win tough problems. We're seeking an amazingly talented AI Engineer to join our team! In this role you will get to provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure. The right candidate is a builder at heart—someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it. Security Clearance Requirement: An active Top Secret SCI w/ CI Polygraph is required for this position.​ What You'll Be Doing: -Provide SETA support to government teams developing or assessing AI-enabled applications and tools. -Advise on technical approaches for AI application design, prototyping, integration, and evaluation. -Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. -Support the review of architectures, development approaches, model usage patterns, and technical risk areas. -Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration. -Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. -Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders. -Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation. -Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. -Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices. What Required Skills You'll Bring: -Min 18 years with Bachelors, 15 years with Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field. -Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. -Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. -Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. -Experience with software development fundamentals, APIs, data handling, and system integration. -Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. -Strong written and verbal communication skills. -Active TS SCI w/ CI Polygraph security clearance required What Desired Skills You'll Bring: -Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. -Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. -Exposure to model hosting, inference pipelines, or cloud-based AI development environments. -Understanding of secure AI development practices, data protection, and operational constraints in government settings. -Experience supporting defense, cyber, intelligence, or mission application development. -Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies Compensation: $160,000.00 - $220,000.00 per year

Hi, Folks, Hope you’re doing well, Job Title: Conversational AI Developer – 92248 Location: Adelphi, Maryland - Hybrid (this means we expect the resource onsite at UMGC’s headquarters 1-2 days a week )Duration: 12+ Months We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants. The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologie s. Responsibiliti • es:Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technolog • iesCollaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stor • iesIntegrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordin • glyLeverage Generative AI services to enhance chatbot responses with creativity and personalizat • ionDevelop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experie • nceConduct thorough testing and debugging to ensure high performance and accuracy of conversational AI soluti • onsMonitor and analyze user interactions and chatbot performance to identify areas for improvement and optimizat • ionStay updated on the latest advancements in Conversational AI technologies and best practi ces Preferred Qualificati • ons:3+ years of experience in software development, preferably with a focus on conversational AI or chat • botsDeep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customiza • tionStrong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot l • ogicHands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external sys • temsProven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case crea • tionExperience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry • logsExperience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content genera • tionMiddleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exch • angeData-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvem • entsSDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/P • rod)Excellent communication, collaboration, and problem-solving sk • illsAbility to work independently and manage multiple projects simultaneo • uslyPassion for innovation and a strong desire to push the boundaries of Conversational AI techno logy Preferred Experi • ence:UMGC or USM prior experience prefe rred. Ben • efits:Be a part of a cutting-edge team at the forefront of Conversational AI development in Higher Edu • cationWork on challenging and rewarding projects that make a real • impactOpportunity to learn and grow your skills in a dynamic and fast-paced envir onment Sohail Hussain,Senior Re cruiter,KASTECH Software Solutions P vt. Ltd.Contact Number : +1 83 22258022sohailh@kastec hssg.com

Description Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation’s most critical missions in data analytics, software engineering, and advanced technology systems. Solerity is seeking a Software Engineer (SWE1) to develop, maintain, and enhance complex software systems supporting large-scale data processing, real-time analytics, and advanced algorithm development. This role supports mission-critical applications involving computer vision, face analytics, and processing of large multimedia and data sets in secure environments. The ideal candidate will have strong software engineering experience, a passion for building scalable systems, and familiarity with modern web technologies and video processing frameworks. Responsibilities Include: • Develop, maintain, and enhance complex software systems supporting data-intensive analytics and computer vision applications. • Analyze user requirements and translate them into software design and performance specifications. • Design, code, test, debug, and deploy new software features and enhancements. • Integrate software components into new or existing system architectures and operating environments. • Develop and execute test procedures and validate software components against requirements. • Debug and resolve software defects and production issues. • Design and implement algorithms to support system performance and functional requirements. • Create and manage database queries and data repository interfaces. • Review and improve software documentation, standards, and development processes. • Support system-level design decisions, including hardware/software trade-offs and reuse of existing components. • Collaborate with cross-functional teams including system engineers, analysts, and other developers. • Support integration of COTS/GOTS solutions where appropriate. • Develop and maintain software systems using modern development methodologies and Agile practices. • Additional duties may be assigned. REQUIREMENTS YOU BRING: • 7+ years of experience as a Software Engineer on programs of similar scope and complexity. • Bachelor’s degree in Computer Science, Engineering, or related technical discipline (or equivalent experience). • Experience analyzing system requirements and translating them into software solutions. • Experience designing, developing, and modifying software systems in complex environments. • Strong debugging and problem-solving skills. • Experience developing and executing software test procedures. • Experience with software documentation and development standards. • Ability to design and implement algorithms to meet system performance requirements. • Experience integrating software systems across multiple environments. • Proficiency in software development lifecycle practices. TECHNICAL SKILLS (PREFERRED): • Experience with modern web development technologies including: • TypeScript • JavaScript • CSS • Vue.js • React • Vite • Node.js • NPM • Git • Experience with video playback and streaming technologies such as: • HTML5 video • Vidstack • video.js • HLS • DASH (preferred but not required) WORK LOCATION • Emerson III facility • Telework eligibility determined by mission requirementsn mission requirements Requirements BENEFITS YOU'LL ENJOY: 1. Medical, dental and vision coverage 2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care 3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position 4. 401(k) and company-funded life insurance 5. Generous Paid Time Off (PTO) 6. Tuition and training assistance 7. Financial rewards for employee referrals. 8. Pet insurance 9. Employee discount program EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer’s expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor. APPLY TODAY! JOB ID- 344

Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As a seasoned Data Scientist specializing in Artificial Intelligence, you will leverage your expertise in combining data analysis and business acumen to tackle complex cognitive computing challenges. Your strong foundation in AI, NLP, and ML will enable you to deliver comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data. Your primary responsibilities will include: • Architect AI Solutions: Design and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, utilizing tools like Github Copilot and Amazon Code Whisperer. • Develop Cognitive Computing Systems: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, leveraging expertise in NLP, ML, and AI frameworks such as TensorFlow, PyTorch, and Keras. • Collaborate on AI Projects: Work on full AI project lifecycle, from research and prototyping to deployment in production environments, utilizing cloud platforms, relational and NoSQL databases, and modern UI frameworks. • Drive AI Innovation: Pioneer innovative AI solutions, leveraging strong programming skills in Python and experience with AI frameworks, to solve complex business problems and drive cognitive computing advancements. • Optimize AI Systems: Guide the optimization of AI systems, ensuring effective usage of libraries such as SciKit Learn, Pandas, and Matplotlib, and familiarity with cloud platforms and related services. Preferred Education Master's Degree Required Technical And Professional Expertise • TS/SCI clearance and full-scope polygraph required on Day 1 • Bachelor’s degree in computer science, electrical engineering, material science, physical sciences, chemical engineering, physics, or related technical field. • 12+ years of experience in science and applied research in one of the above disciplines • 4+ year experience in one of the following applied research areas: • Algorithms, architectures and technologies crucial for future computing systems and prototype development • Circuit and system fabrication techniques to enable system and component miniaturization • Critical open problems in quantum information science and technology and low-power solid state devices • Materials characterization of point defect systems that leverage quantum phenomena • Demonstrated experience planning and conducting research, designing, developing and executing scientific studies • Excellent communication, organization and presentation skills. • Must be willing to work 5 days per week in SCIF in College Park, MD Preferred Technical And Professional Experience • Master’s degree in computer science, electrical engineering, material science, physical sciences, chemical engineering, physics, or related technical field. • Experience authoring and publishing applied research papers, patent holder • Experience supporting federal clients in defense, intelligence, or national security. • Knowledge of classified data environments and secure data handling practices.

Description Are you an experienced AI researcher looking to apply your hard-earned expertise to problems that truly matter? Are you motivated by challenges facing our nation's security and prosperity? Does the opportunity to work on groundbreaking research with mission intent excite you? If so, we're looking for someone like you to join Artificial Intelligence Group at JHU/APL! Our team works at the intersection of AI research and national defense, solving problems that few other institutions are trusted to work on. Some examples of our current challenges include: • Optimizing the alignment of AI agents for human-machine teaming • Improving the reasoning capabilities of agents • Training and evaluating multimodal foundation models on unique mission datasets • Agents for self-directed robotic perception, navigation, and problem-solving • Assessing, mitigating, and exploiting vulnerabilities in frontier models • Test and evaluation (T&E) of emerging AI research A Senior AI Researcher in our group is a trusted technical contributor, advancing research in your specialty area while also collaborating with teammates, program managers, and leadership. Our top researchers all play an active role in shaping research directions, engaging with sponsors, and contributing substantively to proposal development and execution. Staff at this level are also relied upon to bring expert judgment to novel problems and to translate ideas into executable, funded work aligned with mission and sponsor priorities. While this role does not carry line-management responsibility, your experience and perspective will naturally influence the technical quality, direction, and credibility of our group's work. To this end, we generally support active engagement with the broader research community through publishing, presenting, and external collaboration with academia, industry, and government. At its core, this role is about bring creativity and credibility to help our team advance the state of the art while inventing the future of our nation's security and resilience. Qualifications You meet our minimum qualifications for the job if you have... • A PhD degree in a field related to Artificial Intelligence. • 15+ years of experience in AI research, demonstrated through sustained peer-reviewed publications. • Examples of concrete, meaningful contributions made to funded research efforts, including proposal development. • A track record of independently advancing research ideas from concept to execution. • Are able to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain a 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... • Recent experience conducting research in any of the following areas:• Foundation models (LLMs, VLMs, VLAs) • AI for robotic perception, planning, and navigation • Alignment of AI systems to human preferences or behaviors • Adversarial attacks and defenses for agentic AI systems • Red-teaming AI systems for security, safety, or privacy • Examples of exercising sound technical judgment in ambiguous or high-consequence environments • Demonstrated ability to communicate research findings clearly to technical and non-technical audiences • Experience working in government labs, research agencies, or frontier AI organizations • An active Top Secret/SCI clearance 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 . 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 req

A leading defense technology company located in Arlington, VA, is seeking a Data Product Manager for Government Systems. This role requires the development and maintenance of a government systems data roadmap, facilitating cross-team collaboration for data integration at Govini's Ark platform. Ideal candidates have experience with government data systems, strong communication skills, and programming expertise. A Bachelor's degree in a related field and U.S. Citizenship are required. This is a full-time position with expected travel between 25-50%. #J-18808-Ljbffr Govini

Introduction Join a dynamic team at IBM Consulting, where you will build lasting client relationships while collaborating with top-tier companies globally. This is your chance to influence hybrid cloud and AI journeys, utilizing advanced technologies in partnership with our strategic allies, including Red Hat. Here, your curiosity can lead to significant achievements, and you will be supported in challenging standard practices to come up with innovative solutions that bring about real and lasting change. Our culture promotes your long-term career goals while recognizing your distinctive skills and experiences. Your Role and Responsibilities As an AI Research Scientist, you will put your analytical skills and business insights to work to overcome cognitive computing challenges. Your expertise will be essential in designing and implementing AI solutions using state-of-the-art technologies, particularly foundation and large language models. Your main responsibilities will include: • Design AI Solutions: Create and implement sophisticated AI solutions utilizing the latest technologies, with a focus on foundation and large language models, and familiarity with tools like GitHub Copilot and Amazon Code Whisperer. • Develop Cognitive Solutions: Design comprehensive solutions that analyze both structured and unstructured data, employing advanced analytical methods and a thorough understanding of NLP and ML techniques. • Lead AI Project Lifecycle: Oversee the entire AI project lifecycle, from initial research and prototyping through to deployment in production environments, ensuring the successful delivery of solutions. • Collaborate on AI Projects: Partner with diverse stakeholders to tackle complex business challenges, leveraging artificial intelligence to deliver innovative cognitive solutions, employing robust programming skills and proficiency in Python and various AI frameworks. • Optimize AI Solutions: Use your expertise in areas such as NLP, Image Processing, Video Processing, or Voice Processing to enhance AI solutions and maximize business value. Required Technical and Professional Expertise • Active TS/SCI clearance and full-scope polygraph from Day 1. • Bachelor's degree in computer science, electrical engineering, material science, physical sciences, chemical engineering, physics, or a related technical field. • 8+ years of experience in science and applied research in one of the mentioned disciplines. • 2+ years of experience in applied research in areas such as algorithms, circuit fabrication, quantum information science, or materials characterization. • Proven ability in planning, conducting, and executing scientific research and studies. • Strong communication, organizational, and presentation skills. • Willingness to work 5 days a week in a SCIF at College Park, MD. Preferred Technical and Professional Experience • Master's degree in a related technical field. • Experience in authoring and publishing applied research papers; patent holding. • Background in supporting federal clients in defense, intelligence, or national security sectors. • Familiarity with classified data environments and secure data handling practices. IBM is fully committed to fostering a diverse workplace and is proud to be an equal-opportunity employer. All qualified candidates will be considered for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. We also commit to compliance with all fair employment practices related to citizenship and immigration status.

This a Full Remote job, the offer is available from: United States, Mali, California (USA), Illinois (USA), Maine (USA), Massachusetts (USA), Texas (USA), Washington (USA) • This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; Bay Area, CA; or Seattle, WA. • About the Team: WEX Inc. is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including Big Data, AI, and Risk. Our AI Infrastructure team is pivotal in enabling these advancements. We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions that enhance decision-making and create groundbreaking products that benefit our customers and help them to effectively grow their business. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment. This is a really exciting time to be in the AI Infrastructure team at WEX. Our team is responsible for building and maintaining the robust, scalable, and secure cloud infrastructure that powers our AI and machine learning initiatives. We work with cutting-edge technologies like AWS, Azure, Docker, and Kubernetes to create a dynamic environment that supports the development and deployment of AI models at scale. We have challenging problems with huge business impact potential for you to work on and grow. We also have a strong team with highly talented and skillful engineers and leaders to support, guide, and coach you. We are looking for a highly motivated and high-potential Engineer to join our AI Infrastructure team to make significant contributions to our cloud-based AI solutions and grow your career. If you dream to be a strong engineer who can solve tough problems, generate big impacts, and grow fast, this is a great opportunity for you! • How You’ll Make an Impact: • You are a highly motivated and results-oriented individual with a passion for AI, Machine Learning, and software engineering. You possess a strong drive to learn and excel in solving complex problems using data-driven tools and algorithms. You understand the importance of effective communication and collaboration in achieving successful outcomes. • Collaborate with partners and stakeholders to understand the requirements of our AI development teams and key challenges. • Design, build, and maintain cloud infrastructure on AWS and Azure to support AI/ML workloads. • Design, test, code, and instrument AI/ML platforms/tools. • Develop, evaluate, deploy, and monitor AI/ML models. • Implement Infrastructure as Code (IaC) using tools like Terraform. • Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement. • Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes). • Develop and maintain CI/CD pipelines for automating the deployment and management of AI infrastructure. • Develop and maintain monitoring and alerting systems to ensure the health and performance of production AI infrastructure. • Analyze system performance data to identify bottlenecks and opportunities for improvement. • Measure, inspect, and drive decisions using data. • Mentor and learn from your peers, foster continuous learning of new cloud technologies and best practices. • Get good at our team’s processes and best practices, and apply them to given tasks with help from peers and your manager; ensuring you understand the underlying problems you're trying to solve with these tasks, and that your implementations effectively address these problems in a reliable and sustainable way. • Partner with team members in development and problem-solving. • Independently complete work and proactively seek reviews from Senior Engineers and Leaders on your work to ensure high quality. • Perform technical discussions. Proactively review work from peers and learn. • Experience You’ll Bring: • 2+ years of experience as an AI/ML Engineer or Data Scientist with strong software development skills. • Bachelor's degree in Computer Science, Software Engineering, or related field. • A Master's or

Tms Llc is seeking a Product Manager for the Maintenance Platform to lead the development and scaling of solutions aimed at improving maintenance operations and resident experiences. This role requires 5+ years of product management experience, preferably in B2B SaaS, with strong analytical and leadership skills. The successful candidate will work in a hybrid environment from Arlington, Virginia, focusing on strategic roadmaps, cross-functional collaboration, and integration of AI technologies.

TechPerm Incorporated is seeking a Senior NLP/AI Engineer to lead the development of advanced language models in Baltimore. The role emphasizes building and enhancing NLP solutions by working with complex datasets in AWS environments, requiring 10+ years of IT experience and proficiency in Python, SQL, and various NLP tools. This position is on-site in Woodlawn, MD, five days a week, and candidates must be able to obtain a Public Trust clearance.

Senior AI Engineer (NLP & ML expertise) 💰 Salary: $187,200 - 187,200 per year At TASC Technical Services LLC we are looking for a ML, AI engineer! 🛠️ Our tech stack: AI, Support, Machine Learning, Python, Security, Visual Studio, Machine-Learning 📝 Rquirements: - Must have a degree from an accredited College/University in a relevant field or an additional four years of related experience if the degree is in a different area - At least 8 to 12 years of overall experience in relevant domains - Minimum of 2-3 years of experience in specialized AI development, particularly in technology or software development - 3-5 years of experience in software development leveraging AI, Analytics, Support, and Leadership roles - Proven track record in developing solutions using Visual Studio Code, Python, and other programming languages - Familiarity with generative AI and large language models (LLMs) - Ability to work autonomously on functional duties - Must pass a client-mandated clearance process, including drug screening, criminal history check, and credit check - US Citizens or Green Card Holders ONLY - Must be Public Trust Eligible - Must have lived in the US for the last 5 years with no more than 6 months of travel outside the US in that period (Military Service excluded) 👩‍💻👨‍💻 Your responsibilities are: - Collaborate with Requirements and Test Automation teams to pinpoint high-impact use cases for generative AI, machine learning, and automation - Develop AI-driven solutions that align with business requirements and provide actionable recommendations - Design and create prototypes and pilot AI-enabled solutions for Requirements and Test Automation - Produce AI tools or programs to generate technical requirements from existing business user stories - Develop guidance, best practices, and toolkits to assist teams in integrating AI into their workflows - Integrate automation solutions with current software systems and databases - Ensure all AI scripts and programs are executable on postal laptops - Merge existing test automation frameworks with AI solutions - Train designated team members in executing and maintaining AI scripts and programs - Document process changes using agreed standards and methodologies - Provide technical oversight and review the work of team members - Create comprehensive training materials and documentation - Exhibit professionalism, deliver quality service, and maintain a positive, collaborative attitude - Handle additional responsibilities as assigned - Present working samples during the interview process - Attend in-person interviews, preferably View this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on DevITJobs Category: ML, AI Developer / Engineer Location address: Ellipse Road Northwest, Washington, United States Salary: $187,200 - 187,200 per year Benefits & perks that we offer: TASC Technical Services LLC - More about us and the role: At TASC Technical Services, we pride ourselves on 30 years of excellence in the staffing industry. We are located in Washington, D.C., with telework options available. We offer competitive benefits, including comprehensive healthcare plans, a 401k with company match, and direct deposit for weekly paycheck distribution. We adhere to all state and federal guidelines for compensated time off. As an Equal Opportunity Employer, we strive to create an inclusive environment for all our employees. Are you looking for ML, AI jobs in Washington?

A leading consulting firm located in McLean, Virginia, is seeking an experienced Artificial Intelligence Solutions Architect to design effective AI solutions for clients. This role requires strong background in IT systems, cloud environments, and data science, along with a TS/SCI clearance. Competitive salary range of $77,600 to $176,000 based on experience and qualifications. Employees benefit from a supportive work culture and diverse opportunities for professional development. #J-18808-Ljbffr

ZoomInfo in Bethesda, MD is seeking a seasoned product manager to lead the core product experience for their AI platform used by over 2,700 employees daily. You will drive agent creation, manage user analytics, and enhance tool usability across various departments. The ideal candidate should bring over 6 years of product management experience, with a strong focus on AI/ML products. Our environment promotes career acceleration, driven by holistic benefits and a commitment to team success.

A leading analytics firm is seeking a Senior Data Scientist to support USCYBERCOM J2. Candidates should possess a minimum of 12 years experience in data science, with substantial knowledge of predictive analytics and machine learning techniques. The role involves conducting advanced data analyses and developing ML tools. Applicants must have an active TS/SCI clearance and either a master's or bachelor's degree depending on experience level. Competitive salary and benefits are offered. #J-18808-Ljbffr

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

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

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

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

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

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

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

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