LLM Data Scientist, Senior Associate

State Street; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

State Street is seeking an early-career professional to join its GenAI Center of Excellence in Bengaluru. You will help develop, fine-tune, and evaluate cutting-edge AI models, collaborating with senior data scientists to advance our GenAI platform.

The role emphasizes hands-on experimentation, data curation, and applying state-of-the-art evaluation methodologies. A strong Python background and ML framework experience are essential.

Qualifications

• Bachelor’s degree in CS/DS/Statistics or related field.
• 0–7 years IT experience with 3+ years in ML/DS (internships ok).
• Strong Python skills and ML frameworks (PyTorch or TensorFlow).
• Familiarity with LLMs, fine-tuning, and training pipelines.
• Experience with ML evaluation metrics and Python analysis.
• Familiarity with cloud AI/ML services (AWS, Azure, or GCP) and MLOps practices.

Responsibilities

• Design and implement experiments and fine-tuning workflows (LoRA, QLoRA) in Python.
• Support benchmarking and evaluation of LLMs, including performance analysis.
• 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.

Skills

Python programming

Analytical thinking

Applied machine learning

Data preprocessing

Education

Bachelor's in CS/DS/Statistics/Math

Tools

PyTorch

TensorFlow

LoRA

QLoRA

AWS

Azure

GCP

Job description

About the Role

We arelooking fora motivatedand analytical professionalsto 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 ofcutting-edgeAI 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 datascientists.
• Support benchmarking and evaluation of LLMs, including performance analysis and anomaly detection.
• Assistin data curation, preprocessing, and preparation for model training and evaluation.
• Document experiment results, insights, and methodologies;maintaininternal knowledge repositories.
• Participate in model review sessions, learning and applyingstate-of-the-artevaluation 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, orrelatedtechnical field.
• 0–7 years ofoverallexperiencein IT and 3+ years ofexperience in applied machine learning/data science (including internships or academic research).
• Proficiencyin Python programming and hands-on experience with ML frameworks such asPyTorchor 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) andMLOpspractices.

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, 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.

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