Job Description

MLOps Engineer

Must Have Technical/Functional Skills

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

* Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance

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

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

* Data and Model quality monitoring

* 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

Salary Range- $100,000-$115,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE