Need submission details for Senior Data Scientist - AI Agent Expert, Woodland Hills, CA, Onsite

Dear Partner,

Good Morning ,
Greetings from Nukasani group Inc !, We have below urgent long term contract project immediately available for Senior Data Scientist - AI Agent Expert, Woodland Hills, CA, Onsite need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you are not available, any referrals would be greatly appreciated.

Interviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with you.

Candidate Submission Format - needed from you
Full Legal Name
Personal Cell No ( Not google phone number)
Email Id
Skype Id
Interview Availability
Availability to start, if selected
Current Location
Open to Relocate
Work Authorization
Total Relevant Experience
Education./ Year of graduation
University Name, Location
Last 4 digits of SSN
Country of Birth
Contractor Type

: mm/dd

Home Zip Code

Assigned Job Details

Job Title : Senior Data Scientist - AI Agent Expert
Location: Woodland Hills, CA, Onsite
Rate : Best competitive rate

Position Overview:

We are seeking an experienced Senior Data Scientist with specialized expertise in AI agents to join our team in Woodland Hills, CA. This is a unique opportunity to work on cutting-edge AI systems in healthcare, focusing on developing and deploying Large Language Models (LLMs) and Natural Language Processing (NLP) technologies for dynamic, autonomous agent systems.

The ideal candidate will have a deep understanding of AI agent architectures, LLMs, NLP models, and healthcare data standards. You will collaborate with a multidisciplinary team to design and implement sophisticated AI-driven workflows and protocols to optimize healthcare operations.

Key Responsibilities:

• Agent-to-Agent (A2A) Protocols: Design and implement protocols enabling autonomous collaboration, negotiation, and task delegation between AI agents (e.g., ClaimsAgent, EligibilityAgent).

• Model Context Protocols (MCP): Architect and operationalize MCP pipelines for persistent memory-augmented, contextually grounded LLM interactions across healthcare use cases.

• Intelligent Multi-Agent Systems: Build and deploy LLM-driven orchestration of multi-agent systems to streamline benefit processing, prior authorization, clinical summarization, and member engagement.

• Domain-Specific NLP Models: Fine-tune and integrate LLMs and NLP models (e.g., medical BERT, BioGPT) for document understanding, intent classification, and personalized recommendations.

• Retrieval-Augmented Generation (RAG): Develop RAG systems and structured context libraries to dynamically ground knowledge from structured (FHIR/ICD-10) and unstructured (EHR notes, chat logs) data.

• Collaboration & Scalability: Work with engineers and data architects to build scalable, secure, and explainable pipelines that adhere to healthcare regulations (e.g., HIPAA, CMS).

• Research & Innovation: Lead research initiatives in memory-based agent systems, reinforcement learning with human feedback (RLHF), and context-aware task planning.

• MLOps: Contribute to production deployment and continuous model improvement through robust MLOps pipelines.

Required Qualifications:

• Education: Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field.

• Experience: 7+ years of hands-on experience in AI/ML, with a focus on LLMs, transformers, agent frameworks, or NLP, specifically in the healthcare sector.

• Technical Expertise:

  • Expertise in Agent-to-Agent protocols, LangGraph, AutoGen, CrewAI, or similar orchestration tools.

  • Practical experience with Model Context Protocols (MCP) for long-term conversational memory and modular agent interactions.

  • Strong coding skills in Python, with proficiency in ML/NLP libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.

  • Deep understanding of healthcare data standards (FHIR, HL7, ICD/CPT, X12 EDI formats).

• Cloud and Infrastructure: Proficiency in cloud platforms (AWS, Azure, GCP) and tools like Kubernetes, Docker, and CI/CD.

Preferred Qualifications:

• Advanced MCP + VectorDB Integration: Strong understanding of integrating MCP with VectorDB for dynamic agent memory and knowledge retrieval.

• Healthcare AI Experience: Previous experience working with LLM-based agents in large-scale healthcare environments, including voice AI, automated care navigation, or AI triage tools.

• Research Contributions: Published research or patents in AI agent systems, LLM architectures, or contextual AI frameworks.

Skills & Experience Summary:

Nancy
Talent Acquisition | Nukasani Group Inc
Tel
Email:

540 W Galena Blvd, Suite 200, Aurora IL 60506.