Data Scientist – Graph RAG & LLM Fine-Tuning at State Street Corporation - United States

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

0.0

Posted On

21 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, NLP, Graph Databases, Knowledge Graphs, LLM Fine-Tuning, Python, PyTorch, TensorFlow, Scikit-learn, Cloud Platforms, MLOps, Graph Neural Networks, Hugging Face Transformers, DeepSpeed, LoRA

Industry

Financial Services

Description

About the Role We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML Innovation team. This role focuses on developing cutting-edge solutions using Graph-based Retrieval-Augmented Generation (RAG) and fine-tuning Large Language Models (LLMs) to solve complex business problems and enhance decision-making capabilities. You will work closely with cross-functional teams including data engineers, ML researchers, and product managers to design, implement, and optimize intelligent systems that leverage structured knowledge graphs and advanced NLP techniques. Key Responsibilities Design and implement Graph RAG pipelines for enterprise-scale knowledge retrieval and contextual generation. Fine-tune LLMs (e.g., GPT, LLaMA, Mistral) using domain-specific datasets to improve performance on targeted tasks. Develop and maintain knowledge graphs and embeddings for semantic search and reasoning. Collaborate with engineering teams to deploy scalable AI solutions in production environments. Conduct experiments and evaluations to benchmark model performance and ensure robustness. Stay up-to-date with the latest research in NLP, graph neural networks, and LLM architectures. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. 3+ years of experience in applied machine learning or NLP. Hands-on experience with LLM fine-tuning using frameworks like Hugging Face Transformers, DeepSpeed, or LoRA. Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction. Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices. About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer. About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement

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Responsibilities

Design and implement Graph RAG pipelines for knowledge retrieval and contextual generation. Fine-tune LLMs using domain-specific datasets to enhance performance on targeted tasks.