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    Job · 15360222

    State Street logo

    LLM Data Scientist, Senior Associate

    State Street · Bengaluru · onsite · Posted 48d ago

    Not disclosedFresherfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    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 methodologiesmaintaininternal 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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    Sourced from foundit

    Skills

    Evaluation metrics for generative modelsLLM architecturesFine-tuning techniquesPythonModel Training Pipelines

    About State Street Corporation

    State Street logo

    State Street

    Financial Services

    22k+

    employees

    1792

    234 years old

    Boston,Massachusetts

    United States

    About

    We partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing.

    Industries

    Financial ServicesInternet

    Employee ratings

    4,166 reviews

    3.5/ 5

    Culture

    3.3

    Career growth

    2.7

    Work-life

    3.5

    Employees rate it well for

    Work Life Balance568Senior Management402Salary396Work Culture378Job Security240

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