Sr. MLOps Engineer
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
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.
More Info
Key Skills
About Company
Skills:
Kubernetes, Git, python, Jenkins, Docker, aws
Skills:
containerization , MLops, Python, Automated Retraining, Machine Learning Engineering, AI ML Systems, Production Monitoring, Generative AI LLM, Model Registries, Pipeline Orchestration, ML CI CD, Infrastructure-as-Code