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

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📌 Data Scientist, Senior Associate (Bengaluru)
🏢 State Street
📍 Bengaluru