Lead MLOps Engineer
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The role
Lead the design, implementation, and maintenance of scalable MLOps pipelines for production ML models.
Oversee Databricks clusters and CI/CD pipelines to gatekeep the model lifecycle from development to production.
Develop and maintain a feature catalog, experiment tracking, and data governance with RBAC and PII handling.
Build executive dashboards reflecting model development, deployment, and run metrics, and enhance data observability.
Provide technical leadership to a team of MLOps engineers and drive automation and reliability across systems.
Integrate open-source MLOps tooling or third-party solutions with cloud platforms and APIs.
Oversee Databricks clusters and CI/CD pipelines to gatekeep the model lifecycle from development to production.
Develop and maintain a feature catalog, experiment tracking, and data governance with RBAC and PII handling.
Build executive dashboards reflecting model development, deployment, and run metrics, and enhance data observability.
Provide technical leadership to a team of MLOps engineers and drive automation and reliability across systems.
Integrate open-source MLOps tooling or third-party solutions with cloud platforms and APIs.
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