Description

Build and deploy scalable AI and Machine Learning solutions.

Responsibilities

• Build and deploy production-grade ML, NLP, and LLM/GenAI models.
• Implement modern AI architecture patterns: microservices, feature stores, real-time/batch inference, embeddings, and retrieval pipelines.
• Convert functional requirements into scalable AI solutions for claims automation, fraud detection, and risk prediction.
• Implement CI/CD for ML/LLM workloads using MLOps tooling.
• Collaborate cross-functionally with product, cloud engineering, SMEs, 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.
• Familiarity with clinical data, provider/payor workflow, and claims domain exposure.
• Proficiency in SQL and building data pipelines.

Key Skills

Education

Bachelors