A machine learning engineer designs and develops machine learning systems, then keeps training, evaluation, and model integration moving smoothly toward user needs. section 12.1.2
The role typically combines:
- Building and optimizing machine learning models through data preprocessing and model training. section 12.1.2
- Evaluating and deploying models as part of an integrated machine learning system. section 12.1.2
- Setting up experiment, model, and data infrastructure when no dedicated MLOps engineer is available. section 12.1.2
A lean AI team
A small team may pair one data scientist, who collects data and trains models, with a machine learning engineer who turns that work into a reliable training, evaluation, and integration process. Without an MLOps engineer, the machine learning engineer may also establish the supporting infrastructure. section 12.1.2
