ML Ops Engineer - Contract
Tasks
- Collaborate with Data Science and ML leadership
- Coordinate across teams
- Define and enforce migration patterns
- Define future MLOps frameworks
- Design and operate ML workloads on SageMaker
- Implement monitoring and validation
- Lead migration of ML workloads from Databricks to AWS SageMaker
- Manage containerized ML runtimes
- Orchestrate ML workflows
- Refactor Python ML codebases
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Containerization | Data Engineering | Databricks | ML pipelines | ML workloads | Monitoring | Python | Regulatory Compliance | Validation
Education
Roles
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