AI Engineer (Machine Learning/Cloud Infrastructure)

AI Infrastructure & Environment Management

• Manage and maintain cloud environments for AI workloads
• 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