C2C-In Person Interview || Senior Data Scientist ||Mason OH

Hi,

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.

To subscribe or unsubscribe: https://send.empowerprofessionals.com/newsletter/subscribe/647186e8-bcb0-4f73-8f80-cb3daff9ad90