State Street
SeniorDataScientist–AgenticAI/Graph/LLMScience,VicePresident
“Senior Data Scientist – Agentic AI / Graph/ LLM Science, Vice President at State Street. Skills: Agentic AI, Graph, LLM Science, applied machine learning, NLP, GenAI, graph databases, knowledge graphs, Python, PyTorch, TensorFlow, Scikit-learn, cloud platforms, MLOps. Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs. LLM research and fine-tuning including evaluating foundational models, fine-tuning and prompt optimization with rob”
What You'll Achieve.
deliver value leveraging agentic AI workflows and domain LLMs; ship production-grade agents and platform features; designing and validating domain-specific LLM solutions; building evaluation taxonomies and metrics; operationalizing fine-tuning/tooling for business use cases; benchmark model performance; ensure robustness
Industry & Context.
Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs; Develop and maintain knowledge graphs and embeddings for semantic search and reasoning; Inference engine for scalable, low latency serving for tuned models, agentic workflows and cost optimization
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field., 5+ years of experience in applied machine learning or NLP., Hands-on experience with LLM’s, GenAI or NLP at production scale, understanding of graph databases (e. g. , Neo4j, RDF, DGL) and knowledge graph construction., Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
Nice to Have
Prior work on agentic AI is a big plus
What You'll Do.
Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs
LLM research and fine-tuning including evaluating foundational models
fine-tuning and prompt optimization with robust data curation and governance alignment
Evaluation frameworks & taxonomies and Frontier model evaluation and buildout
Develop and maintain knowledge graphs and embeddings for semantic search and reasoning
Inference engine for scalable
low latency serving for tuned models
agentic workflows and cost optimization
Conduct experiments and evaluations to benchmark model performance and ensure robustness
document and socialize
How You'll Work.
Team & Collaboration
partnering closely with Platform Engineering, SRE, and Podsusiness Engagement to ship production-grade agents and platform features; Collaborate with engineering teams to deploy scalable AI solutions in production environments.
Communication Scope
socialize
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