Job Description
Designs and builds data infrastructure that supports large-scale feature computation, transformation, and storage. Develops frameworks for batch and event-driven features with a focus on reliability, scalability, and ease of use. Drives improvements in data quality and governance through validation, anomaly detection, drift monitoring, and feature lineage tracking. Partners with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems. Contributes to training set generation pipelines and ensure reproducibility and feature versioning for model development. Helps shape the future of the platform by exploring streaming feature management and other next-gen capabilities.
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