MLOps Lead Engineer
St. Louis, Missouri, United States
USD 164K-225K (estimate) Senior-level Full Time
Tasks
- Automate model deployment pipelines
- Bridge platform engineering and client operations
- Design ML production lifecycles
- Enable real time observability
- Implement continuous integration and deployment
- Lead technical enablement workshops
- Manage multi environment deployment isolation
- Set up governance and security controls
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Databricks | Asset bundles | Azure Databricks | Azure DevOps | Databricks (asset) | Databricks Asset Bundles | Delta Lake | GitHub Actions | KMS | Key Vault | MLflow | PySpark | Python | Unity Catalog
Education
N/A
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