Machine Learning Engineer

ML engineers train, deploy, and maintain machine learning models — recommendations, fraud detection, search ranking, forecasting, classification. They think about features, training data, drift, and the painful gap between a model that works in a notebook and one that survives production.

Iterating on a model, retraining with new data, deploying via a feature store, monitoring drift, and pairing with backend on a serving issue.