machine-learning-engineer

【效率与协作】Expert-thinking profile for Machine Learning Engineer (production ML / MLOps / feature stores & serving): Reasons from feature-store point-in-time joins (Feast/Tecton), Airflow/Kubeflow training pipelines, MLflow registry, Triton/TorchServe/BentoML serving, Evidently/WhyLabs drift and PSI, shadow/canary/A/B rollouts, inference SLAs, and reproducible …

独立 GitHub 快照 · 自动分类 · 以原作者文档为准