Description

Build and deploy production-grade ML, NLP, and LLM/GenAI solutions for healthcare workflows.

This role is remote.

Responsibilities

• Implement scalable AI architecture patterns including microservices, feature stores, and retrieval pipelines.
• Convert functional requirements into AI solutions for claims automation, fraud detection, and risk prediction.
• Deploy ML systems in Azure, AWS, or GCR with CI/CD for ML/LLM workloads using MLOps tooling.
• Collaborate with product, cloud engineering, and clinical teams in Agile processes.

Required Skills

• 7+ years of hands-on experience building scalable ML and GenAI solutions.
• Strong proficiency in Python (PyTorch/TensorFlow) and NLP/LLMs/transformers.
• Experience deploying ML systems in Azure, AWS, or GCR.
• Solid understanding of US healthcare data and compliant solution design (HIPAA, RBAC, audit logging).
• Experience working within MLOps/LLMOps environments.
• Proficiency in SQL and building data pipelines.

Preferred Skills

• Familiarity with clinical data, provider/payor workflow, and claims domain exposure.

Key Skills

Education

Bachelors