Senior Machine Learning Engineer - Databricks
New
M
MuttdataMachine learning
Remote - LatamFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLAzure DevOps
Requirements
- Have proven experience orchestrating data or ML pipelines on Databricks, including Jobs, Workflows, and cluster policies.
- Bring solid CI/CD experience with Azure DevOps, gitflow, and pull requests.
- Have infrastructure-as-code experience with Databricks Asset Bundles.
- Use code quality tools and standards including black, isort, and mypy.
- Have advanced Python and SQL skills.
- Have experience with Delta and Unity Catalog.
- Experience with multi-country schemas, drift and cost monitoring, and deployment automation is a plus.
- Experience developing AI agents or agentic infrastructure, such as Mosaic AI Agent Framework, agent orchestration, or MCP, is a plus.
Responsibilities
- Orchestrate production pipelines on Databricks Jobs, chaining tasks with depends_on and managing failure modes.
- Configure and maintain deployments with Databricks Asset Bundles, promoting across dev, qa, and prd targets with resource and deployment files per country.
- Manage model and artifact lifecycles in MLflow and Unity Catalog, including registration, versioning, Champion/Challenger aliases, and rollback.
- Manage compute across workspaces, standardize cost-monitoring tags, and integrate AIOps and observability.
- Diagnose runtime incidents and coordinate with development squads by mastering the product end to end.
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