Overview
Design, deploy and maintain production machine-learning pipelines on Databricks, including training, model deployment, monitoring and CI/CD.
Full job description
Build end-to-end ML workflows with PySpark, MLflow and Delta Lake, integrate cloud data sources, optimize clusters and implement observability and infrastructure automation.
Requirements & qualifications
Requires 3+ years in machine-learning engineering, strong Databricks/Spark/PySpark/Python and MLflow skills, CI/CD and Docker, Azure experience, production ML-system knowledge and English at B2 or higher.
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