MLOps Engineer

MLOps Engineer

Must Have Technical / Functional Skills

1. Work Experience in SageMaker Knowledge in setting up CI / CD aws code pipeline for Machine Learning Models (Preferably in Cloud)

2. Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance

3. Design, build and scale reliable data pipelines using AWS (Python, PySpark and Snowflake)

4. Bash / Shell Scripting and SQL and ML Libraries Pandas, NumPy, PyTorch, Scikit-learn

5. Data and Model quality monitoring

6. S3, IAM, Lambda, step functions, Code build, ECR, ECS / Fargate

Roles & Responsibilities

ML Pipeline Development & Automation

Model Deployment & Serving

Development and maintenance

Monitoring & Performance Management

Security & Compliance

Continuous improvements