This role sits at the intersection of data operations and applied machine learning, focusing on the curation, quality, and lifecycle management of field data used in production ML models. The role emphasizes data curation, governance, workflow automation, and model sustainment. In addition, the candidate may contribute to feature engineering, model monitoring, and retraining workflows. The candidate will work closely with multidisciplinary teams including Data Scientists and ML engineers, Software Engineers, QA teams, and clinical collaborators in a regulated medical device environment. The ideal candidate is rigorous, innovative, hands-on, and comfortable working in a technical research environment where responsibilities may evolve over time.
