Data Scientist (nlp And Genai Specialist)

Morgan Stanley UK

Dallas, United States
Large language models (llms)
Retrieval augmented generation (rag)
Agentic ai architecture
Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics

Job Summary

  • Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
  • Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
  • Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.

Matching Summary

Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.

Skills & Requirements

Must-have

  • Large Language Models (LLMs)
  • Retrieval Augmented Generation (RAG)
  • Agentic AI architecture
  • knowledge graph analytics
  • GenAI-based solutions
  • Python or Java

Nice-to-have

  • familiarity with financial markets
  • innovative approaches to detection
  • collaboration with stakeholders

Key Requirements

  • Master's or PhD degree
  • 5+ years industry experience
  • AI/ML/NLP software packages experience
  • SDLC principles and GIT
  • 8+ years relevant experience expected

Work Rights

Not specified

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