Data Scientist Agentic AI / Graph / LLM Science, Assistant Vice President

State Street·Posted 5 days ago

Location

All India, Delhi

Experience

3–7 years

Required Skills

anomaly detectiongraph databasesPythonLLM researchfinetuningevaluation frameworksfrontier model developmentdomainspecific LLM solutionsevaluation taxonomiesmetricsoperationalizing finetuningtoolingagentic AI workflowsdomain LLMsknowledge graphsembeddingssemantic searchreasoninginference enginescalable AI solutionsML librariescloud platformsMLOps practicesagentic AI

About the Role

As a Data Scientist at State Street's AI/ML science team, you will be involved in advancing LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development in collaboration with various teams to ship production-grade agents and platform features.

Key Responsibilities: - Own BU specific problem statements and objectives leveraging agentic AI workflows and domain LLMs. - Conduct LLM research, fine-tuning, and prompt optimization with robust data curation and governance alignment. - Develop evaluation frameworks & taxonomies and work on Frontier model evaluation and buildout.

• Create and maintain knowledge graphs and embeddings for semantic search and reasoning.

• Implement an inference engine for scalable, low latency serving for tuned models, agentic workflows, and cost optimization.

• Collaborate with engineering teams to deploy scalable AI solutions in production environments.

• Conduct experiments and evaluations to benchmark model performance and ensure robustness.

• Research, document, and socialize findings.
Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• Minimum of 3 years of experience in applied machine learning or NLP.

• Hands-on experience with LLM's, GenAI, or NLP at production scale.

• 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.

• Prior work on agentic AI is a big plus.
State Street offers competitive benefits packages, flexible work programs, and development opportunities to help you reach your full potential. They value inclusion, diversity, and social responsibility, welcoming candidates of diverse backgrounds and providing support for work-life balance and community engagement. As a Data Scientist at State Street's AI/ML science team, you will be involved in advancing LLM research, fine-tuning, evaluation frameworks, anomaly detection, and frontier model development in collaboration with various teams to ship production-grade agents and platform features.
Key Responsibilities: - Own BU specific problem statements and objectives leveraging agentic AI workflows and domain LLMs.
• Conduct LLM research, fine-tuning, and prompt optimization with robust data curation and governance alignment.

• Develop evaluation frameworks & taxonomies and work on Frontier model evaluation and buildout.

• Create and maintain knowledge graphs and embeddings for semantic search and reasoning.

• Implement an inference engine for scalable, low latency serving for tuned models, agentic workflows, and cost optimization.

• Collaborate with engineering teams to deploy scalable AI solutions in production environments.

• Conduct experiments and evaluations to benchmark model performance and ensure robustness.

• Research, document, and socialize findings.

Qualifications Required:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

• Minimum of 3 years of experience in applied machine learning or NLP.

• Hands-on experience with LLM's, GenAI, or NLP at production scale.

• 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.

• Prior work on agentic AI is a big plus.

State Street offers competitive benefits packages, flexible work programs, and development opportunities to help you reach your full potential. They value inclusion, diversity, and social responsibility, welcoming candidates of diverse backgrounds and providing support for work-life balance and community engagement.

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