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The Machine Learning Data Engineer plays a crucial role in supporting the data science team by managing the entire data lifecycle with a focus on machine learning support, starting from acquiring data from various sources to preparing and serving it for machine learning pipelines. This includes ensuring data integrity, managing large-scale data processing, implementing feature engineering, and maintaining data workflows that support continuous integration and deployment of machine learning models. Reporting directly to the Senior Manager of Data Science, this role requires a deep technical background, with particular emphasis on Databricks, a strong understanding of data infrastructure, and a passion for building scalable and efficient machine learning systems. The ideal candidate will have experience in Databricks with data preprocessing, feature engineering, MLOps, model deployment, and maintaining model performance in a production environment.
