Data Scientist Agentic AI Graph LLM Science AVP India

You will be joining State Streets AI ML science team as a Data Scientist to work on the Agentic AI platform buildout Your role will involve advancing LLM research finetuning evaluation frameworks anomaly detection and frontier model development in close collaboration with Platform Engineering SRE and Pods Business Engagement to ship productiongrade agents and platform features You will focus on applied research and productoriented data science requirements designing and validating domainspecific LLM solutions building evaluation taxonomies and metrics and operationalizing finetuning tooling for business use cases Key Responsibilities Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs Conduct LLM research and finetuning including evaluating foundational models finetuning 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 Opportunity to research document and socialize findings Qualifications Required Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field Minimum of 3 years of experience in applied machine learning or NLP Handson experience with LLMs 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 Scikitlearn Familiarity with cloud platforms AWS Azure GCP and MLOps practices Prior work on agentic AI is a big plus In addition to the job specifics State Street is known for being one of the largest custodian banks asset managers and asset intelligence companies globally They offer competitive perks packages flexible work programs and development opportunities to help employees reach their full potential State Street values inclusion diversity and social responsibility welcoming candidates of diverse backgrounds and providing support for worklife balance and community engagement You will be joining State Streets AI ML science team as a Data Scientist to work on the Agentic AI platform buildout Your role will involve advancing LLM research finetuning evaluation frameworks anomaly detection and frontier model development in close collaboration with Platform Engineering SRE and Pods Business Engagement to ship productiongrade agents and platform features You will focus on applied research and productoriented data science requirements designing and validating domainspecific LLM solutions building evaluation taxonomies and metrics and operationalizing finetuning tooling for business use cases Key Responsibilities Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs Conduct LLM research and finetuning including evaluating foundational models finetuning 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 Opportunity to research document and socialize findings Qualifications Required Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field Minimum of 3 years of experience in applied machine learning or NLP Handson experience with LLMs 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 Scikitlearn Familiarity with cloud platforms AWS Azure GCP and MLOps practices Prior work on agentic AI is a big plus In addition to the job specifics State Street is known for being one of the largest custodian banks asset managers and asset intelligence companies globally They offer competitive benefits packages flexible work programs and development opportunities to help employees reach their full potential State Street values inclusion divers