Could you please provide some examples of what a ML Ops person might do/manage in their day to day jobs?
- Monitoring -- you have to build specialized monitoring to check for model degradations. Is the model still outputting valid/correct predictions? If not you need to roll back to an old model (see above).
Those are the two main ones.