Sr. MLOps Engineer

Required Skills

● 6+ years in MLOps/ML Engineering running production ML/AI workflows.

● Strong AWS: SageMaker pipeline and Jobs, Step Functions, ECR, CloudWatch,lambda functions, Event bridge, Dynamodb and DAX; solid Docker and Python.

● Excellent knowledge of Machine learning and analytic pipeline implementation and deployment into production using AWS services specially Sagemaker.

● Proven experience with batch ML pipelines, artifact management, and environment promotion.

● CI/CD for ML (GitHub Actions or similar) and Terraform and Spacelift for repeatable deployments.

● Monitoring, logging, and cost management for cloud ML workloads.

● Clear communication and partnership with DE/DS to ship reliable releases.