Engineer II, AI

About the role

The Engineer II, AI role is focused on end-to-end machine learning (ML) development to optimize processes in healthcare revenue cycle management (RCM) operations. Please note, this is primarily an ML Engineer role, not a Data Scientist, or MLOps Role.

What you'll do

• Contribute towards end-to-end ML development lifecycle, including data preparation, model building, deployment, and monitoring for revenue cycle applications
• Build and optimize Gradient Boosting Trees models using LightGBM, and develop scikit-learn pipelines for predictive analytics
• Implement Large Language Model (LLM) operations with OpenAI APIs, including summarization, prompt engineering, fine-tuning, and integration into operational workflows
• Apply Explainable AI (XAI) techniques using libraries like SHAP and LIME to interpret model decisions and ensure transparency in high-stakes healthcare scenarios
• Analyze complex datasets to identify patterns, develop deployable solutions, and collaborate on production-grade ML systems

What you need

• 4–6 yrs of experience
• Machine learning
• SQL
• Scikit-learn
• Python
• Pandas
• Spark
• B.Tech or B.E. or M.Sc

Good to have

• Databricks
• Data analysis
• LLMs
• Prompt engineering
• Git
• MLOps