What are the responsibilities and job description for the AI/ML Engineer (ML Ops) – Model Deployment & Optimization position at Devfi?
AI/ML Engineer (ML Ops) – Model Deployment & Optimization
Arlington VA (Hybrid)
Contract Duration: 6 -12 Months
Skills & Experience Requirements
- 8 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 explain ability 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.
Regards,
Raju Chidurala
216-343-3435
rajuc@devfi.com
