| Urgent Requirement - Sr Data Scientist with AI @ Woodland Hills CA at Woodland, Wisconsin, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2848562&uid=626d605cecdb4c8cbc022ee9f57856c9 Sr Data Scientist with AI Woodland Hills CA Exp : 12+ yrs NO Key Responsibilities Design and implement Agent-to-Agent (A2A) protocols enabling autonomous collaboration, negotiation, and task delegation between specialized AI agents (e.g., ClaimsAgent, EligibilityAgent, ProviderMatchAgent). Architect and operationalize Model Context Protocol (MCP) pipelines that ensure persistent, memory-augmented, and contextually grounded LLM interactions across multi-turn healthcare use cases. Build intelligent multi-agent systems orchestrated by LLM-driven planning modules to streamline benefit processing, prior authorization, clinical summarization, and member engagement. Fine-tune and integrate domain-specific LLMs and NLP models (e.g., medical BERT, BioGPT) for complex document understanding, intent classification, and personalized plan recommendations. Develop retrieval-augmented generation (RAG) systems and structured context libraries to enable dynamic knowledge grounding across structured (FHIR/ICD-10) and unstructured sources (EHR notes, chat logs). Collaborate with engineers and data architects to build scalable agentic pipelines that are secure, explainable, and compliant with healthcare regulations (HIPAA, CMS, NCQA). Lead research and prototyping in memory-based agent systems, reinforcement learning with human feedback (RLHF), and context-aware task planning. Contribute to production deployment through robust MLOps pipelines for versioning, monitoring, and continuous model improvement. Required Qualifications Masters 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 GCP 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. Thanks & Regards, Raghavendra Email: [email protected] Keywords: continuous integration continuous deployment artificial intelligence machine learning card California Urgent Requirement - Sr Data Scientist with AI @ Woodland Hills CA [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2848562&uid=626d605cecdb4c8cbc022ee9f57856c9 |
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| 10:46 PM 16-Oct-25 |