Artificial Intelligence Engineer- II
Core
End-to-end machine learning development to optimize processes in healthcare revenue cycle management (RCM) operations.
Role type
Mid-level Machine Learning Engineer
Builds
Production-grade ML systems for revenue cycle applications
Domain
Healthcare / Revenue Cycle Management
Deliverable
production ML models
Required skills
Python, SQL, Gradient Boosting Trees, LightGBM, scikit-learn, PySpark ML, Explainable AI (SHAP, LIME), Large Language Model (LLM) operations, OpenAI APIs
Preferred skills
Data manipulation libraries
Technologies
LightGBM, scikit-learn, PySpark, OpenAI APIs, SHAP, LIME
Responsibilities
Contribute to end-to-end ML development lifecycle including data preparation, model building, deployment, and monitoring; Build and optimize Gradient Boosting Trees models; Implement LLM operations with OpenAI APIs; Apply Explainable AI techniques to interpret model decisions; Analyze complex datasets to identify patterns and develop deployable solutions.