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Bayesian Health · 1 year ago

Staff Machine Learning Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

3+ years exp

Bayesian Health is an early-stage startup focused on making healthcare proactive through real-time data. They are seeking a Staff Machine Learning Engineer who will develop, productionize, and deploy machine learning models aimed at improving patient outcomes in a clinical AI product.

Artificial Intelligence (AI)Health CareInformation Services

Responsibilities

Model Prototyping: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods

Productionizing: The same models that you develop with production-grade python

Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploying production-grade Python code to implement those strategies

MLOps: Build infrastructure that enables ML model development and deployment in production systems

Qualification

Machine LearningProduction-grade PythonSQLMLOps toolsHealthcare solutionsData mappingDebuggingModel prototypingEnterprise customer experiencePeer-reviewed methods

Required

Ph.D. in a relevant field plus 3+ years relevant experience, or a relevant Master's degree and 5+ years experience shipping ML based software products

Experience owning your ML models from prototyping to production

Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems

Experience using MLOps tools such as SageMaker and MLFlow