Principal Machine Learning Engineer
Core
Building, validating, deploying, and improving machine learning models for scoring, prediction, risk detection, and decision support in a digital health context.
Role type
Principal Machine Learning Engineer (hands-on IC)
Builds
Production ML models, predictive scores, and GenAI-enabled workflows for emergency response and remote patient monitoring.
Domain
Digital health / Machine Learning / Predictive Analytics
Deliverable
production ML models
Required skills
Python, SQL, feature engineering, model training, model validation, MLOps, stakeholder partnership, problem definition
Preferred skills
GenAI/LLM integration, transparent/explainable modeling, rapid prototyping, technical leadership
Technologies
Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, Snowflake, Azure, AWS
Responsibilities
Build and deploy ML models for scoring and risk detection; design interpretable models and scorecards; partner with engineering to move models to production; shape business problems into measurable ML objectives; mentor engineers and establish development standards.
Seniority
Principal, hands-on IC with strategic judgment