Expedite Talent Solutions is seeking an Azure Data Engineer to support end-to-end ML lifecycle in production. The role focuses on deploying ML models, versioning, monitoring, and building automated pipelines in Azure Databricks and Azure ML.
You will work in a hybrid setup, engaging with stakeholders, leading a team, and handling production support tasks. Requires >10 years of relevant experience and strong Azure/Databricks skills.
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