Linguist Job
Hi all
Senior Data Scientist with deep expertise in AI agent Woodlandhills, CA (5 Days onsite) Long Term Exp: min 12+
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+ Yers 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 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.
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 GCP including Kubernetes, Docker, and CI/CD.
Please share updated resume to pavan@torquetek.com
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