MLOps Engineer II

Summary

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient. The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.