Overview
Join State Street's AI/ML Science team as a Data Scientist within the Agentic AI platform initiative, driving applied research and product-oriented data science in LLMs, evaluation and anomaly detection.
What you'll do
- Own BU-specific AI/ML problem statements and objectives, delivering value through agentic AI workflows and domain-specific LLM solutions.
- Lead foundational and domain model evaluation, fine-tuning, and prompt optimization with robust data curation and governance.
- Design and implement evaluation frameworks, taxonomies, and metrics for model benchmarking and anomaly detection.
- Build and maintain knowledge graphs, embeddings, and inference engines to enable semantic search, reasoning, and scalable serving.
- Collaborate with engineering teams to deploy scalable AI solutions in production environments.
- Conduct experiments, analyze results, and communicate findings and best practices across teams.
- Stay abreast of the latest advancements in generative AI, LLMs, and agentic systems.
What you'll need
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
- 5+ years of overall experience in IT.
- 3+ years of relevant experience in applied machine learning or NLP, with hands-on work in production environments.
- Strong experience with LLMs, GenAI, or NLP, including fine-tuning and evaluation.
- Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
- Experience with graph databases (e.g., Neo4j, DGL), knowledge graphs, and vector stores.
- Familiarity with cloud AI/ML services (AWS, Azure, or GCP) and MLOps practices.
- Strong communication and cross-functional collaboration skills.
Nice to have
- Prior work on agentic AI.
Details
- Work schedule: On-premise.
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.