Overview
Skills
Job Details
Required Qualifications:
- Master s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field.
7+ years of experience in applied AI with a focus on LLMs, transformers, agent frameworks, or NLP in healthcare.
Hands-on experience with Agent-to-Agent protocols, LangGraph, AutoGen, CrewAI, or similar multi-agent orchestration tools.
Practical knowledge and implementation experience of Model Context Protocols (MCP) for long-lived conversational memory and modular agent interactions.
Strong coding experience in Python, with proficiency in ML/NLP libraries like Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.
Familiarity with healthcare benefit systems, including plan structures, claims data, and eligibility rules.
Experience with healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI formats.
Cloud-native development experience on AWS, Azure, or Google Cloud Platform including Kubernetes, Docker, and CI/CD.
Preferred Qualifications: - Deep understanding of MCP + VectorDB integration for dynamic agent memory and retrieval.
Prior work on LLM-based agents in production systems or large-scale healthcare operations.
Experience with voice AI, automated care navigation, or AI triage tools.
Published research or patents in agent systems, LLM architectures, or contextual AI frameworks.
Must Have Skills
We are looking for Senior Data Scientist with 15+ Years Skill 1 7+ Yers Exp - AI agent architectures, LLMs, NLP developing A2A Protocols and Model Context Protocols (MCP)
Skill 2 - 7+ Yers Exp - LLMs and NLP models (e.g., medical BERT, BioGPT)
SKill 3 - 7+ Years Exp - retrieval-augmented generation (RAG)
Skill 4 7+ Yers Exp - coding experience in Python, with proficiency in ML/NLP libraries
Skill 5 - 7+ Yers Exp - healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI formats.
Skill 6 - 7+ Yers Exp - AWS, Azure, or Google Cloud Platform including Kubernetes, Docker, and CI/CD Preferred Qualifications
Deep understanding of MCP + VectorDB integration for dynamic agent memory and retrieval.
Prior work on LLM-based agents in production systems or large-scale healthcare operations.
Experience with voice AI, automated care navigation, or AI triage tools.
Published research or patents in agent systems, LLM architectures, or contextual AI frameworks. Domain Experience (If any ) Good to have healthcare experience