Senior Machine Learning Engineer- Applied Modeling
Core
Senior ML Engineer focused on applied modeling, feature/target design, and training supervised baselines for healthcare operations.
Role type
Senior IC applied machine learning engineer (tabular data)
Builds
Production ML models for healthcare utilization, appeals, and DRG workflows
Domain
Healthcare / Clinical Operations / Tabular Data
Deliverable
production ML models
Required skills
Python, supervised model training (classification), feature engineering, SQL, Snowflake, model evaluation (calibration, drift), cross-validation, FastAPI, Git
Preferred skills
Healthcare domain knowledge (DRG, ICD-10, EHR), Azure ML/SageMaker/Vertex, Snowpark, Temporal, clinical NLP, experiment tracking
Technologies
Python, scikit-learn, Snowflake, Snowpark, FastAPI, Git, Azure Machine Learning, SageMaker, Vertex, Temporal
Responsibilities
Design features and targets for clinical data, train and evaluate supervised models, collaborate with backend engineers on integration, ensure compliance with PHI constraints
Seniority
Senior, hands-on IC
