Ai/Ml Technical Lead

GCubed

  • Fort Belvoir, VA
  • 14 days ago

    Highlights

    GCubed, Inc. is seeking an AI/ML Engineer to design, build, and deploy machine learning models and AI-powered solutions that solve real business problems. Work with product owners, users, and functional specialists to understand needs and translate them into technical designs, user stories, and acceptance criteria.

    Numbers & Facts

    LocationFort Belvoir, VA

    Description

    Job Purpose

    GCubed, Inc. is seeking an AI/ML Engineer to design, build, and deploy machine learning models and AI-powered solutions that solve real business problems. This role will work closely with engineering, product, data, and business teams to turn complex data into scalable, practical, and measurable solutions. The ideal candidate has strong technical skills, curiosity, problem-solving ability, and experience with Large Language Models (LLMs).

    Essential Functions of the Job

    • Design, develop, test, document, and maintain AI-enabled applications and services. Implement AI and agent workflows.
    • Develop RAG capabilities, including data ingestion, retrieval, grounding, and integration with authorized enterprise information sources.
    • Integrate AI models with APIs, enterprise applications, and business workflows, including appropriate tool use and human review.
    • Work with product owners, users, and functional specialists to understand needs and translate them into technical designs, user stories, and acceptance criteria.
    • Develop and maintain application components, APIs, and services using Python and established software engineering practices.
    • Create and execute automated tests and evaluations to assess accuracy, relevance, grounding, safety, and performance.
    • Troubleshoot application and model behavior; use test results and user feedback to improve solution quality.
    • Support deployment and operations, monitoring, documentation, incident resolution, and ongoing maintenance.
    • Apply security and privacy requirements, including identity and access controls, authorization-aware retrieval, and protection of sensitive data.
    • Collaborate with data, cloud, cybersecurity, DevSecOps, and software engineering teams to integrate solutions into the enterprise environment.
    • Contribute reusable components, technical documentation, and engineering practices that improve consistency and maintainability.
    • Contribute to the development of the AI Safety/Alignment policies, procedures, etc., for ensuring ethical, controllable, and aligned artificial intelligence systems and agents

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