LLM Data Scientist, Senior Associate

STATE STREET CORPORATION; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

State Street Corporation seeks motivated early-career professionals (0–7 years) to join its GenAI Center of Excellence in Bengaluru. You will design experiments, fine-tune LLMs, benchmark models, curate data, and document results under senior guidance.

Stay current with advances in generative models and contribute to frontier research. You will collaborate with data scientists to improve the GenAI platform, applying Python-based pipelines and cloud ML services across AWS/Azure/GCP.

Qualifications

• Bachelor's degree in a technical field.
• 0–7 years IT and 3+ years ML experience.
• Proficient in Python with ML frameworks.
• Familiar with cloud AI/ML services.
• Knowledge of LLM fine-tuning and evaluation.

Responsibilities

• Design and implement experiments and fine-tuning workflows (LoRA/QLoRA) using Python and ML frameworks.
• Support benchmarking and evaluation of LLMs, including perf analysis and anomaly detection.
• Assist in data curation, preprocessing, and preparation for model training/evaluation.
• Document experiment results, insights, and methodologies; maintain internal repositories.
• Participate in model review sessions and stay current with frontier model evaluation methods.
• Contribute ideas to frontier model research and stay updated on generative models.

Skills

Python proficiency

LLM concepts

Data science

Model evaluation

Experiment design

Education

Bachelor’s degree (CS/DS/related)

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

MLOps

Job description

About the Role

We are looking for a motivated and analytical professionals to join our GenAI Center of Excellence at State Street. This role is ideal for early-career professionals (0–7 years of experience) passionate about advancing large language model (LLM) capabilities through rigorous experimentation and applied research. You will contribute to the development, fine-tuning, and evaluation of cutting-edge AI models, working closely with senior team members to enhance our GenAI platform.

Key Responsibilities

• Design and implement experiments and fine-tuning workflows (e.g., LoRA, QLoRA) using Python and popular ML frameworks under the guidance of senior data scientists.
• Support benchmarking and evaluation of LLMs, including performance analysis and anomaly detection.
• Assist in data curation, preprocessing, and preparation for model training and evaluation.
• Document experiment results, insights, and methodologies; maintain internal knowledge repositories.
• Participate in model review sessions, learning and applying state-of-the-art evaluation methodologies.
• Stay current with advances in generative models and contribute ideas to frontier model research.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
• 0–7 years of overall experience in IT and 3+ years of experience in applied machine learning/data science (including internships or academic research).
• Proficiency in Python programming and hands‑on experience with ML frameworks such as PyTorch or TensorFlow.
• Basic understanding of LLM architectures, fine‑tuning techniques, and Python‑based model training pipelines.
• Familiarity with evaluation metrics for generative models and experience analyzing model results using Python.
• Familiarity with cloud AI/ML services (AWS, Azure, or GCP) and MLOps practices.

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

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

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

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