MLOps Engineer
Job Description
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
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
