What this interview will probe
Own end-to-end model development, from research and prototyping through deployment and monitoring, building scalable ML systems and pipelines that ship into Databricks products. The role requires fluency with modern deep-learning frameworks and the data and serving infrastructure to operationalize models in production. A technical interview would probe ML system design, feature pipelines and training/serving consistency, and practical tradeoffs in model evaluation, deployment, and monitoring at scale.
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