AI / Machine Learning Talent
Core
Design, build, evaluate, and improve machine learning and AI systems in production environments to predict denials, automate coding, and flag payment integrity issues for U.S. health systems.
Role type
Machine Learning Engineer / Data Scientist / AI Research Scientist
Builds
Scalable, reliable, and cost-efficient AI/ML services for revenue cycle management
Domain
Healthcare Revenue Cycle Management (RCM)
Deliverable
production ML models
Required skills
Python, SQL, model development, evaluation, optimization, deep learning frameworks (PyTorch, TensorFlow, Hugging Face), LLMs & modern AI techniques (fine-tuning, prompt engineering), statistics, experimentation, causal inference
Preferred skills
Distributed systems, multi-GPU training, performance optimization, experiment design, publication experience
Technologies
Python, SQL, PyTorch, TensorFlow, Hugging Face, PEFT, RLHF
Responsibilities
Design and build ML systems in production, translate business problems into AI solutions, develop and run experiments to evaluate models, productize models into services, optimize training and inference performance, analyze production data, partner cross-functionally, contribute to AI research
Seniority
Senior to Staff/Principal