Description

Drive advanced data science initiatives focusing on large language models and AI agent architecture within healthcare contexts.

This role is on-site.

Responsibilities

• Design and implement LLM and NLP models using specialized architectures like Medical BERT and BioGPT.
• Develop and integrate Retrieval-Augmented Generation (RAG) pipelines.
• Manage data exchange using A2A and MCP protocols.
• Utilize cloud platforms (AWS, Azure, GCP) and containerization (Kubernetes, Docker) for deployment.
• Apply CI/CD practices for model and pipeline delivery.

Required Skills

• 8+ years of IT experience.
• Expert proficiency in Python and ML/NLP libraries (PyTorch, Hugging Face, LangChain, spaCy).
• Experience with LLMs and NLP frameworks.
• Familiarity with healthcare data standards (FHIR, HL7, ICD/CPT, X12 EDI).
• Working knowledge of cloud infrastructure (AWS, Azure, GCP).
• Experience with containerization technologies (Docker, Kubernetes).
• Proficiency in CI/CD practices.

Key Skills

Education

Any Graduate