ML Engineer: Anomaly Detection in Production on AWS

A medical innovation firm in Santa Clara is seeking a Machine Learning Engineer to join their data science team. The successful candidate will analyze complex pharmacy data and develop predictive models, specifically focusing on unlabeled data for anomaly detection. Ideal applicants will have strong Python skills and cloud experience, particularly with AWS, and will be responsible for the end-to-end machine learning lifecycle, including deploying scalable solutions in production.
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