Digital Signal Processing Engineer CACIDigital Signal Processing EngineerSterling, VirginiaPay 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. Join this passionate team of industry-leading individuals on a program that leverages the best practices in Model-Based Systems Engineering and Agile software development to deliver state of the art capability in support of our nation’s warfighters.
Senior Digital Signal Processing Engineer CACISenior Digital Signal Processing EngineerSterling, VirginiaPay 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. Join this passionate team of industry-leading individuals on a program that leverages the best practices in Model-Based Systems Engineering and Agile software development to deliver state of the art capability in support of our nation’s warfighters.
Border Security AI/ML Engineer GuidehouseBorder Security AI/ML EngineerSterling, VirginiaNote that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Data Scientist III KBRData Scientist IIIArlington, VACAPE JDS is a multi-source funded and OSD CAPE managed organization responsible for identifying, collecting, developing, analyzing, managing, and disseminating historical, current, and future years U.S. and Non-U.S. forces inventory, capabilities, and deployment data (including planning, programming, and acquisition data) supporting collaborative study teams guided by the Analysis Working Group (AWG). Eight (8) years of experience designing, executing, and delivering data analyses leveraging at least one (1) of the following areas: Statistics: Expertise with statistical modeling, experimental design, sampling, clustering, data reduction, confidence intervals, testing, modeling, and predictive modeling.
Data Scientist I KBRData Scientist IArlington, VACAPE JDS is a multi-source funded and OSD CAPE managed organization responsible for identifying, collecting, developing, analyzing, managing, and disseminating historical, current, and future years U.S. and Non-U.S. forces inventory, capabilities, and deployment data (including planning, programming, and acquisition data) supporting collaborative study teams guided by the Analysis Working Group (AWG). Two (2) years of experience designing, executing, and delivering data analyses leveraging at least one (1) of the following areas: Statistics: Expertise with statistical modeling, experimental design, sampling, clustering, data reduction, confidence intervals, testing, modeling, and predictive modeling.
Digital Signal Processing (DSP) Engineer CACIDigital Signal Processing (DSP) EngineerSterling, VirginiaPay 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. Join this passionate team of industry-leading individuals on a program that leverages the best practices in Model-Based Systems Engineering and Agile software development to deliver state of the art capability in support of our nation’s warfighters.
Artificial Intelligence Subject Matter Expert (CBP) Agile DefenseArtificial Intelligence Subject Matter Expert (CBP)Ashburn, VirginiaYou will design, test, and align AI and machine learning models so they perform reliably in a professional operational setting, working alongside program leadership, engineering teams, and the security staff who have to sign off on what you build before it runs against real data. U.S. Customs and Border Protection runs continuous operations across more than 300 land, air, and sea ports of entry, plus Border Patrol stations and the Air and Marine Operations Center.
GPU Software Engineer Leidos Holdings Inc.GPU Software EngineerArlington, VA$107,900–$195,050 / yearThese teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing. Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes.
Data Scientist – Supply Chain Risk Management VTGData Scientist – Supply Chain Risk ManagementWashington, Washington, DCFull timeThe successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains. Overview: VTG is seeking a motivated Data Scientist to join our team supporting a program focused on Supply Chain Risk Management (SCRM).
Data Scientist II KBRData Scientist IIArlington, VACAPE JDS is a multi-source funded and OSD CAPE managed organization responsible for identifying, collecting, developing, analyzing, managing, and disseminating historical, current, and future years U.S. and Non-U.S. forces inventory, capabilities, and deployment data (including planning, programming, and acquisition data) supporting collaborative study teams guided by the Analysis Working Group (AWG). Four (4) years of experience designing, executing, and delivering data analyses leveraging at least one (1) of the following areas: Statistics: Expertise with statistical modeling, experimental design, sampling, clustering, data reduction, confidence intervals, testing, modeling, and predictive modeling.
Border Security Ai/Ml Engineer GuidehouseBorder Security Ai/Ml EngineerSterling, VANote that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Senior Product Manager, AI & Data Products Surgo HealthSenior Product Manager, AI & Data ProductsWashington, Washington DCRemote$156,000–$171,000 / yearAs Surgo Health scales its AI and behavioral intelligence platforms, you will play a critical role in defining product direction, owning the roadmap, and building core capabilities from the ground up in close partnership with company leadership, engineering, and data science. We uncover the unseen drivers of health - people’s beliefs, barriers, and behaviors - and transform that intelligence into scalable products that enable healthcare organizations to drive impact, reduce costs, and advance inclusion.
AI Developer Engineer UnissantAI Developer EngineerAshburn, VARemoteFull timeEssential Duties and Responsibilities:Design, develop, and productionize RAG applications, chatbots, document translation and summarization services, predictive models, anomaly-detection capabilities, and routing/optimization solutions. Communication Skills:Excellent verbal and written communication skills, with the ability to explain AI/ML designs, model performance, technical risks, and solution tradeoffs to technical and nontechnical audiences.
ServiceNow Developer (AI & Intelligent Automation Focus) Chenega CorporationServiceNow Developer (AI & Intelligent Automation Focus)Springfield, VAChenega Agile Real-Time Solutions (CARS) is seeking a highly skilled ServiceNow Developer (AI & Intelligent Automation Focus) to serve as a senior technical leader responsible for architecting, developing, and advancing enterprise capabilities on the ServiceNow platform. Lead hands-on development within the ServiceNow platform, including client scripts, business rules, UI actions, UI policies, data policies, workflow automation, Flow Designer, Integration Hub spokes, Script Includes, catalog items, Service Portal widgets, UI pages, and event/alert rules.
Mid Data Architect / Data Scientist Chenega CorporationMid Data Architect / Data ScientistArlington, VAExperience with cloud-based analytics and data engineering platforms such as AWS, Azure, Databricks, Snowflake, Python, Spark, TensorFlow, PyTorch, or similar technologies, and relevant certifications such as Azure Data Engineer Associate, AWS Data Analytics Specialty, or equivalent. The Mid-Level Data Architect / Data Scientist supports the development and implementation of enterprise data architectures and analytics solutions supporting CDAO data-driven mission initiatives.
NewPython AI/ML Developer Cogent Infotech CorporationPython AI/ML DeveloperWashington, DCThis role is ideal for a hands-on developer who can build production-ready Python solutions while contributing to AI/ML model integration, intelligent automation, document processing, analytics, and GenAI-enabled business applications. As a Python Developer with AI exposure, you will play a key role in developing backend applications, APIs, data processing solutions, and AI-enabled enterprise applications for cross-industry use cases.
Devsecops Engineer Occam SolutionsDevsecops EngineerArlington, VAThe DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in PWS Section 4.5 - Technical Infrastructure and Platform Support, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment. Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.
Cybersecurity Architect Booz Allen HamiltonCybersecurity ArchitectReston, VirginiaAssociate’s degree and 10+ years of experience supporting IT projects and activities, Bachelor’s degree and 8+ years of experience supporting IT projects and activities, Master’s degree and 6+ years of experience supporting IT projects and activities, or 12+ years of experience supporting IT projects and activities in lieu of a degree. Your technical expertise will be vital as you help customers overcome their most difficult challenges by leading cybersecurity technologies and domains, including IoT and Cloud security, Automation and Orchestration (A&O), identity and access management, and machine learning.
Solutions Architect, Senior Manager Booz Allen HamiltonSolutions Architect, Senior ManagerMcLean, VirginiaPerform research and interface with subject matter experts on emerging and leading Cybersecurity technologies and domains, including IoT and Cloud Security, Automation and Orchestration (A&O), identify and access management, and artificial intelligence (AI), and machine learning. Coordinate with senior clients regularly, including CIO, CISO, GRC, and SOC leaders on Cybersecurity challenges and shape opportunities to implement solutions and service offerings leveraging investments and proven capabilities.
Cybersecurity Data Scientist Booz Allen HamiltonCybersecurity Data ScientistMcLean, VirginiaDesign, build, and deploy custom AI/ML solutions for cybersecurity, including supervised and unsupervised detection models, anomaly and behavioral analytics, NLP on security text, retrieval-augmented generation (RAG) pipelines, agentic workflows, and LLM-assisted analyst tooling, and operationalize them end-to-end including data ingest, feature engineering, training, tuning, evaluation, deployment, monitoring, and retraining. You will bridge data science and security operations by translating analyst needs, threat models, and incident learnings into reproducible data pipelines, feature sets, ML/LLM models, and evaluation frameworks deployed across cloud, network, endpoint, identity, and application telemetry domains.