Data Scientist – Agentic Ai / Graph/ Llm Science , Vp

State Street UK

Bangalore, India
Agentic ai workflows
Llm research and fine-tuning
Evaluation frameworks and taxonomies
The Science pillar advances LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features

Job Summary

  • The Science pillar advances LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features.
  • This role will focus on applied research and product-oriented data science requirements – designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics and operationalizing fine-tuning/tooling for business use cases.
  • State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world, providing investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Matching Summary

The Science pillar advances LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features.

Skills & Requirements

Must-have

  • Agentic AI workflows
  • LLM research and fine-tuning
  • Evaluation frameworks and taxonomies
  • Knowledge graphs and embeddings
  • Inference engine development
  • Production-grade AI solutions

Nice-to-have

  • Domain-specific LLM solutions
  • Cost optimization
  • Semantic search and reasoning
  • Collaborative engineering environment

Key Requirements

  • 5+ years of experience in applied ML or NLP
  • Hands-on experience with LLMs, GenAI or NLP at production scale
  • Strong understanding of graph databases and knowledge graph construction
  • Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn)
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices

Work Rights

Not specified

Tailored Resume

Cover Letter