Description
As an ML Ops Engineer at Circadia Health, you will be responsible for managing the entire infrastructure and operational lifecycle of machine learning systems powering their clinical monitoring platform. This includes developing and maintaining production ML pipelines, deployment infrastructure, and monitoring systems to ensure reliable operation of predictive models identifying early signs of clinical deterioration. The role involves close collaboration with ML, backend, data, and clinical teams to enhance ML practices such as reproducibility, experiment tracking, CI/CD for models, and operational observability. It's a high-ownership position crucial for patient outcomes due to the direct impact of model accuracy and improvement.
