AI/ML Engineer

New Yesterday

AI/ML Engineer (ML Ops) – Model Deployment & Optimization Work Experience: 5+ Years of experience Educational Qualifications: BS in Engineering, Computer Science, Information Systems or equivalent Security Clearance Requirements: Eligible to obtain Public Trust Clearance Work Location:Hybrid or Remote for very strong candidates 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.
Apply
Location:
Arlington, VA, United States
Category:
Computer And Mathematical Occupations

We found some similar jobs based on your search