Description

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

This role is remote.

Responsibilities

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

Required Skills

• 5+ years of experience in applied machine learning.
• Proficiency in Python, Scikit-learn, PyTorch, TensorFlow, and XGBoost.
• Hands-on experience with NLP and computer vision, specifically document classification and entity extraction.
• Strong software engineering fundamentals, including Git, CI/CD pipelines, and containerization.

Preferred Skills

• Experience with medical data or healthcare domain knowledge.

Key Skills

Education

Any Graduate