Machine Learning Engineer

Understands core supervised, unsupervised, and deep-learning methods.

Produces reliable training and serving features from raw data.

Measures model quality, robustness, bias, and failure modes.

Implements models with production-relevant training frameworks.

Makes training and release workflows reproducible and governed.

Serves models with appropriate latency, scale, and reliability.

Detects drift, degradation, and operational failures.

Integrates reliable data processing with training and inference.