AI Engineer (Machine Learning/Cloud Infrastructure)

Responsibilities AI Infrastructure & Environment Management Manage and maintain cloud environments for AI workloads (Government Commercial Cloud or equivalent) Ensure secure and stable connectivity between enterprise systems and AI platforms Monitor system performance and maintain reliability of AI models in production Implement security controls for AI data handling and model deployment
AI Prototyping & Technical Evaluation Conduct technical evaluation of AI tools, frameworks, and vendor solutions Build proof-of-concepts to validate AI feasibility and performance Stress-test AI APIs, model endpoints, and third-party integrations Document findings and provide recommendations on AI adoption
Data Pipelines & MLOps Engineering Develop and maintain data pipelines for AI training and inference Implement MLOps practices for model deployment, monitoring, and lifecycle management Build and maintain model serving infrastructure and APIs Ensure reliable data flow between source systems and...