As the owner of the technical vision and development of the machine learning platform, you will establish benchmarks for MLOps and the management of model life cycles. Your role will also involve spearheading cross-departmental projects to enhance platform efficiency and guiding engineering teams. Candidates should have 10-12 years of experience in creating large-scale ML or data platforms and possess extensive knowledge of the Databricks lakehouse framework. A graduate degree in a technical discipline is preferred, accompanied by robust leadership capabilities in distributed systems and cloud technology.
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