Description

Responsibilities

• Develop machine learning, deep learning, and generative AI models to support RCM use cases such as claim outcome prediction, denials classification, next best action recommendation, clinical appeal summarization, and workflow optimization.

• Build end to end ML pipelines including feature engineering, model training, hyperparameter tuning, validation, and monitoring.

• Research and apply advanced techniques in LLMs, embeddings, retrieval augmentation (RAG), prompt engineering, and document intelligence.

• Translate operational and product requirements into measurable model objectives, data specifications, and evaluation frameworks.

• Conduct exploratory data analysis (EDA) to understand data patterns, anomalies, and business insights

Key Skills

Education

Bachelor’s degree