8 min read
The importance of Feature Engineering in an MLOps Pipeline
The feature set silently dictates how fragile, expensive, and maintainable an ML system actually is.
This is the part of MLOps that rarely receives attention in architecture diagrams and workflows, and the part most likely to quietly sink a production model.
- mlops
- feature engineering
- machine learning
- data engineering