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84.51° is seeking a Senior ML Data Engineer to join their Relevancy Sciences Team, focusing on building machine learning data pipelines to enhance personalized customer experiences for Kroger's e-commerce platform. The role involves designing scalable data infrastructure and ensuring production-grade reliability for ML solutions.
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Job Summary
Own the feature request lifecycle from intake through deployment, driving reusability and maintaining a searchable feature catalog.
Build automated pipelines that generate ML-ready training datasets by combining features with labeled target variables.
Establish and enforce feature naming conventions, data quality thresholds, and point-in-time correctness patterns.
Matching Summary
Match Score: 75
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84.51° is seeking a Senior ML Data Engineer to join their Relevancy Sciences Team, focusing on building machine learning data pipelines to enhance personalized customer experiences for Kroger's e-commerce platform. The role involves designing scalable data infrastructure and ensuring production-grade reliability for ML solutions.
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