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.
● Transparent communication and partnership with DE/DS to ship reliable releases.
📌 Sr. MLOps Engineer (Karamba)
🏢 R Systems
📍 Karamba
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