Data Scientist (NLP and GenAI Specialist)
Morgan Stanley · Dallas, TX · 4 mo ago
EngineeringFull-time
What You'll Do In The Role
- 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.
- Conduct research to identify novel methods for enhancing analytical solutions.
- Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.
- Champion innovative approaches to improve detection of suspicious activity.
What you'll bring to the role:
- Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
- 5+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
- Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
- Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
- Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
- Strong problem solving and time management skills
- Excellent written and oral communication skills
- Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
- Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
- Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases