Machine Learning Engineer

Build and productionize machine-learning models by designing training and inference pipelines, packaging models for deployment, and serving predictions through APIs and batch jobs. Implement monitoring for drift, data quality, latency, cost, and performance, automate retraining and validation, and prevent silent model degradation. Work across data, modeling, and product systems, focusing on reliability, observability, and secure handling of sensitive healthcare data.