Ratna Global is seeking an ML Engineer to contribute to our ML Platform team's core systems, including training pipelines, feature store, model deployment, and observability. Ideal candidates have production experience with MLOps, SageMaker, AWS, Kubernetes, Terraform, Python, and possibly Go.
You will work tightly with Data Science, Analytics, and Data Engineering teams to deliver reliable, scalable data tooling, online/offline feature stores, and low-latency inference solutions in a
#J-18808-LjbffrSenior ML Platform Engineer - MLOps & AWS in Remote at Unknown Company
This position is listed as full time and onsite.