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AI/ML Engineer

TekSynap

Salary not specified
Sep 18, 2025
Reston, VA, USA
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TekSynap is seeking an AI/ML Engineer to support the National Geospatial-Intelligence Agency (NGA) Artificial Intelligence (AI) efforts by creating technical solutions for multiple AI challenges within a secure, agentic AI framework.

Requirements

  • 3+ years of experience designing, training, validating, and deploying ML models (especially computer vision, geospatial analytics, or time-series)
  • Proficiency in Python, PyTorch/TensorFlow, and ML lifecycle tools (MLflow, Kubeflow, Airflow)
  • Experience building data/model ingestion pipelines, metadata registries, and automated scoring/benchmarking frameworks
  • Familiarity with containerized deployment (Docker/Kubernetes), REST APIs, and distributed architectures (e.g., AWS EventBridge).
  • Working knowledge of model governance, explainable AI (XAI) methods, and regulatory/compliance constraints for AI in secure environments
  • Experience implementing: Drift detection algorithms and active retraining loops
  • Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A) communications, and multi-agent orchestration frameworks

Responsibilities

  • Design and implement model ingestion pipelines to onboard new models and datasets
  • Automate extraction, transformation, and loading (ETL) of model metadata (hyperparameters, training datasets, evaluation metrics, licenses) into standardized registries for validation and governance
  • Integrate metadata into unified data ontology structures to enable downstream discoverability and auditability
  • Develop automated model evaluation loops to continuously test and benchmark models against mission-defined performance thresholds
  • Build scoring logic and performance scorecards, integrating with agent monitoring frameworks to detect constraint violations and trigger re-validation workflows
  • Implement continuous data/model drift monitoring and mitigation pipelines; create retraining or fallback workflows to maintain operational accuracy
  • Build explainability layers (feature importance, confidence bounds, constraint violation predictions) and automated factsheets for model transparency and audit compliance

Other

  • Collaborate with governance teams to align validation pipelines to IC/Department of Defense standards and National Geospatial-Intelligence Agency accreditation criteria.
  • Enable human-in-the-loop checkpoints through interactive dashboards, allowing analysts to provide feedback and influence model lifecycle decisions
  • Active TS security clearance, CI Poly eligible
  • U.S. Citizenship
  • TS/SCI with Polygraph