Machine learning engineer

A machine learning engineer builds and deploys the models that power AI features in real products. They take models from research or prototype into production — engineering training pipelines, tuning performance, integrating models into applications, and monitoring them once live to catch drift and failures.

The role sits between data science and software engineering, demanding strong coding, systems design, and ML fundamentals. ML engineers work at tech companies and any organization shipping AI features.

Unlike a researcher, their focus is reliability and scale: making a model work consistently on real data and traffic, not just achieving the best score in a notebook.