AWS MLOps Engineer

We are looking for an ML Engineer / MLOps Engineer with experience in ML lifecycle management, model deployment, and cloud-based ML systems. The ideal candidate should have hands-on expertise in training, evaluating, deploying, versioning, and monitoring ML models in production environments using AWS and MLflow.

• Manage ML lifecycle including training, evaluation, deployment, versioning, and monitoring
• Implement CI/CD pipelines for ML models using GitHub Actions
• Deploy and manage ML infrastructure on AWS (ECS, ECR, API Gateway, RDS, S3)

• 2+ years experience in ML/MLOps with MLflow, Spark ML, Python
• 2+ years experience with AWS services (ECS, ECR, API Gateway, RDS, ALB, S3)
• 1+ year experience in FastAPI, REST API development, SQL, PostgreSQL, SQLAlchemy

• Experience with Agentic AI
• Experience with Databricks (Unity Catalog, Jobs & Workflows, Access Management)