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Bayesian Health
Staff Machine Learning Engineer
Remote · USA · Full time · Senior level
About the role
Own the end-to-end effectiveness of real-time clinical ML models in production. Develop, deploy, and maintain ML models to improve healthcare outcomes.
What you’ll do
• Develop and tune ML models based on clinical use cases. • Write production-grade Python and SQL code. • Deploy and debug ML models in production. • Build infrastructure for ML model development and deployment.
What you’ll bring
• Ph.D. plus 3+ years or Master's plus 5+ years experience. • Experience owning ML models from prototype to production. • Proficient in production-grade Python and SQL. • Experience with MLOps tools like SageMaker and MLFlow. • Work authorization for USA.
Life at Bayesian Health
Bayesian Health values diversity and prohibits discrimination. Equal employment opportunities provided.
About Bayesian Health
Bayesian Health is an early-stage startup improving patient outcomes by empowering clinicians with real-time data and AI insights.