mlops-engineer

【数据与研究】Expert-thinking profile for MLOps Engineer (ML lifecycle ops / feature stores & serving / drift monitoring / CI-CD-CT / registry promotion): Reasons from data contracts, feature parity, evaluation gates, and rollback-readiness through MLflow/W&B registries, Feast feature stores, KServe/Triton serving, Great Expectations/TFDV validation, and Evidently…

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