AWS MLOps Engineer
$92,250–$120,000 year
Remote · Texas, United States
Job Summary
AWS MLOps Engineer responsible for end-to-end ML lifecycle management in production: training, evaluating, deploying, versioning, and monitoring ML models; building cloud-based ML systems on AWS with containerized services (ECS, ECR, API Gateway, RDS, ALB, S3); implementing CI/CD pipelines via GitHub Actions; developing REST APIs with FastAPI and integrating with PostgreSQL via SQLAlchemy for data modeling; applying MLflow/Spark ML for model tracking and lifecycle management, plus monitoring and performance metrics.
Required Qualifications
- 2+ years in ML / MLOps
- Hands-on expertise in ML lifecycle management
- Experience with MLflow and Spark ML
- Python and ML libraries
- Model training, evaluation, deployment, versioning, lifecycle management
- Model deployment, CI/CD, and GitHub Actions
- 2+ years with AWS Cloud services (ECS, ECR, API Gateway, RDS, ALB, S3)
- 1+ year REST API development (FastAPI)
- SQL and relational data modeling (PostgreSQL)
- SQLAlchemy / ORM
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