• AI Product Owner

    Bowman (Reston, VA)
    …and insights. **Success Metrics and Competencies** + Strong understanding of AI/ ML concepts, use cases, and limitations. + Excellent communication and stakeholder ... strategy, or technology roles, with at least two (2) years focused on AI/ ML solutions. + Familiarity with generative AI, LLMs, machine learning pipelines, and… more
    Bowman (08/08/25)
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  • Summer 2026 - UMD-College Park & UIUC Incubator…

    Capital One (Mclean, VA)
    …1 year of experience with machine learning and various subfields (deep learning, Graph ML , NLP, explainability, etc.) + At least 1 year of experience with relational ... program managers, and product managers who deliver AI Engineering products + Developing ML platforms and products, where the work involves a variety of modern… more
    Capital One (08/08/25)
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  • Chief Data Engineer

    SAIC (Mclean, VA)
    …tagging standards. + Normalize and standardize data for incorporation into AI/ ML enabled analytical methodologies. + Collaborate with cross-functional teams and ... CI Polygraph is required. **Preferred Qualifications:** + Familiarity with AI/ ML enabled analytical methodologies and emerging analytic capabilities. + Knowledge… more
    SAIC (08/07/25)
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  • AI Senior Systems Engineer

    BLN24 (Mclean, VA)
    …systems. Duties and Responsibilities: + Design and implement scalable, secure AI/ ML architectures with embedded RAI controls. + Integrate bias detection, ... + Active TS clearance with SCI eligibility. + 5+ years of experience in AI/ ML infrastructure and system design. + 2+ years supporting DoD AI platforms (eg, JCF,… more
    BLN24 (08/07/25)
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  • Nvidia AI Technical BDM

    Lenovo (VA)
    …or technical consulting capacity. + 5+ years of experience with AI/ ML lifecycle, data pipelines, and infrastructure requirements. **Preferred Skills** + Experience ... roles (solution architect, sales engineer, technical consultant). + Industry certifications in AI/ ML or cloud technologies are a plus. + Excellent communication and… more
    Lenovo (08/04/25)
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  • Sr Lead Software Developer

    Lumen (Richmond, VA)
    …alerting). + Experience with Artificial Intelligence (AI) and Machine Learning ( ML ) concepts and frameworks (eg, TensorFlow, PyTorch, scikit-learn), particularly in ... deploying and managing AI/ ML models in a production cloud environment. + Experience with distributed systems and microservices architectures. + Familiarity with… more
    Lumen (08/02/25)
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  • ISR SME - Mcwl

    JCTM LLC (Quantico, VA)
    …You will work with advanced military systems and integrate technologies like AI/ ML , MCISRE platforms, and rapidly developed prototypes that shape the future of ... USMC requirements development processes, especially for DC CD&I + Experience integrating AI/ ML capabilities in ISR or operational scenarios + Familiarity with remote… more
    JCTM LLC (08/02/25)
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  • Cleared Software Engineer

    General Atomics (Chantilly, VA)
    …imagery. State of the art Convolutional Neural Networks (CNNs) are used in AI/ ML pipelines to process large volumes of satellite imagery. Object detections from the ... lifecycle development + Able to build and deploy working prototypes + GEOINT AI/ ML pipelines + Geospatial data processing + Cloud technologies such as Kubernetes,… more
    General Atomics (08/02/25)
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  • Principal Technical Architect - IDP, Content…

    Iron Mountain (Richmond, VA)
    …of intelligent capture, classification, data extraction, and validation processes **AI/ ML -Powered Automation:** + Integrate OCR and natural language processing (NLP) ... document automation, including:** Natural Language Processing (NLP), Machine Learning ( ML ), LLM training and tuning, MongoDB, Elastic Search, Lucene, Strong… more
    Iron Mountain (08/01/25)
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  • Software Engineer - AI SysML (Technical…

    Meta (Richmond, VA)
    …trends in computing technology to help assess & develop new technologies within the ML Systems roadmap 7. Drive the team's goals and technical direction to pursue ... one or more of the following machine learning/deep learning domains: ML systems: AI infrastructure, machine learning accelerators, high performance computing,… more
    Meta (08/01/25)
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