Senior Machine Learning Engineer
Core
Build and deploy machine learning systems to rank claim opportunities and improve claim-remit matching to increase hospital revenue.
Role type
Senior Machine Learning Engineer (individual contributor)
Builds
Production ML models for claim ranking and revenue recovery
Domain
Healthcare revenue cycle management
Deliverable
production ML models
Required skills
Python, scikit-learn, machine learning, exploratory data analysis, model deployment, MLOps, cloud platforms
Preferred skills
TensorFlow, PyTorch, NLP, transformers, Hugging Face, Spark, statistics, research
Technologies
AWS, GCP, Azure, scikit-learn, TensorFlow, PyTorch, Spark, Hugging Face
Responsibilities
Own end-to-end development, training, deployment, and improvement of ML systems; analyze data to identify actionable opportunities; research and implement new model architectures; implement cloud MLOps best practices; measure impact of AI workflows on business metrics; lead a technical workstream
Seniority
Senior, hands-on IC