Data AI/ML Engineer – Model Deployment & Optimization
Long Term Contract
Washington, DC – Remote
State or Federal Client experience required
Educational Qualifications: BS in Engineering, Computer Science, Information Systems or equivalent
Contract Duration: 6 months, extendable up to 1 year.
Skills & Experience Requirements
• 4+ years building, tuning, and deploying machine learning models in
production environments.
• Strong background in MLOps practices using MLflow or similar tools for model
versioning, deployment, and governance.
• Experience with microservices-based AI architectures and integration into
operational platforms.
• Proficiency in containerization (Docker, Kubernetes) and scalable inference
serving.
• Knowledge of explainability frameworks (e.g., SHAP, LIME) and bias detection techniques
in AI systems.
Preferred
Qualifications
• Experience deploying AI models in regulated mission environments (healthcare,
federal security, customs).
• Familiarity with real-time risk scoring and decision-support integrations for
government screening systems.
• Hands-on use of graph transformers or hybrid rule+AI architectures.
• Background in scaling AI solutions across multiple product categories or
mission areas.
Best Regards
Krishna