
Data Scientist – Graph RAG
2 weeks ago
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.
- 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.
Job ID: R-
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