A Snapshot of Your Day The day of an ML Developer/MLOps Engineer starts by reviewing model performance metrics and identifying drift in production models. A team meeting follows, sharing updates on model training and evaluation pipelines. The engineer then converts Jupyter notebooks into reproducibl