Description

You will build and deploy production-grade ML models across classification, anomaly detection, and ranking tasks.

Responsibilities

• Build and deploy production-grade ML models for classification, anomaly detection, and ranking.
• Apply NLP/CV techniques to extract insights from medical documents (EOBs, records, etc.).
• Partner with billing, compliance, and finance teams to develop AI tools.
• Implement LLMs and deep learning techniques as required.

Required Skills

• 5+ years in applied machine learning.
• Proficiency in Python, Scikit-learn, PyTorch, TensorFlow, and XGBoost.
• Experience with NLP/CV, specifically document classification and entity extraction.
• Strong software engineering skills, including Git, CI/CD, and containers.

Key Skills

Education

Any Graduate