I hope this email finds you well.
My name is Yashasvi Hasija, and I am a Technical Recruiter from Empower Professionals Inc. We are sourcing for a Senior Data Scientist role with one of our clients based in Mason, OH. and it’s a long-term contract with possible extensions
If you have any suitable profiles, please share their updated resumes with the candidate’s location, work authorization and expected rate so that we can proceed.
Role- Senior Data Scientist Location- Mason, OH 12+ Months In person Interview is must
Must- • AI agent architectures, LLMs, NLP developing A2A Protocols and Model Context Protocols (MCP) • LLMs and NLP models (e.g., medical BERT, BioGPT) • Retrieval-augmented generation (RAG) • Coding experience in Python, with proficiency in ML/NLP libraries • AWS, Azure, or GCP including Kubernetes, Docker, and CI/CD
Bonus Healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI formats.
We are seeking a Senior Data Scientist with deep expertise in LLMs, NLP, and agent architectures to lead the development of interoperable, self-improving AI agents in the healthcare domain. This role focuses on designing advanced multi-agent systems that interact intelligently across clinical, administrative, and benefits platforms using Agent-to-Agent (A2A) protocols and Model Context Protocols (MCP).
Key Responsibilities
• Design and implement A2A protocols for autonomous task delegation and collaboration among specialized AI agents (e.g., ClaimsAgent, ProviderMatchAgent).
• Develop MCP pipelines to enable persistent memory and context continuity across multi-turn healthcare interactions.
• Architect and deploy LLM-orchestrated agent systems for use cases like prior authorizations, benefit optimization, and clinical summarization.
• Fine-tune domain-specific LLMs and NLP models (e.g., medical BERT, BioGPT) for intent classification and personalized recommendations. • Build retrieval-augmented generation (RAG) systems with structured/unstructured healthcare data (e.g., FHIR, ICD-10, EHR). • Collaborate on building scalable, secure, and compliant ML pipelines (HIPAA, CMS, NCQA). • Lead research in memory-based agents, RLHF, and context-aware planning. • Contribute to end-to-end MLOps pipelines for deployment, monitoring, and iteration.
Required Qualifications • Master’s/Ph.D. in CS, ML, NLP, or related field. • 7+ years in applied AI, particularly with LLMs, transformers, or agent systems in healthcare. • Proficiency with tools like LangGraph, AutoGen, CrewAI, and hands-on A2A protocol development. • Proven experience with Model Context Protocols, LLM pipelines, and healthcare NLP. • Strong Python skills with libraries such as Hugging Face, LangChain, spaCy, and PyTorch. • Understanding of healthcare systems (e.g., claims, eligibility, plan design). • Experience with healthcare data standards: FHIR, ICD/CPT, HL7, X12 EDI. • Cloud-native development: AWS/GCP/Azure, Docker/Kubernetes, CI/CD.
Preferred Qualifications • Expertise in MCP + VectorDB for agent memory and dynamic context retrieval. • Experience building production-grade LLM agents in healthcare. • Background in voice AI, AI navigation, or triage systems. • Published work or patents in LLM-based agent systems or contextual AI.
Thanks Yashasvi Hasija Technical Recruiter | Empower Professionals ……………………………………………………………………………………………………………………. Yashasvi@empowerprofessionals.com LinkedIn: linkedin.com/in/yashasvi-hasija-6a745625b 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873 www.empowerprofessionals.com Certified NJ and NY Minority Business Enterprise (NMSDC) Empower Professionals firmly opposes e-mail “spamming”. We apologize to those who do not wish to receive this e-mail and also to those who have accidentally received it again. Please reply with “REMOVE” in the subject listing, with all aliases email addresses that you would want removed and any inconvenience caused is highly regretted. We appreciate your patience and cooperation. This e-mail and any files transmitted with it are for the sole use of the intended recipient(s) and may contain confidential and privileged information. If you are not the intended recipient(s), please reply to the sender and destroy all copies of the original message. Any unauthorized review, use, disclosure, dissemination, forwarding, printing or copying of this email, and/or any action taken in reliance on the contents of this e-mail is strictly prohibited and may be unlawful.
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