Reads like an ML Engineer role: training models and running them in production.
Bangalore, India
Actively hiring, first seen by us 10 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
We are looking for a motivated and analytical professionals to join our GenAI Center of Excellence at State Street.
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.
Design and run experiments and fine-tuning workflows (e.g., LoRA, QLoRA) in Python
Support benchmarking and evaluation of LLMs, including performance and anomaly analysis
Assist with data curation and preprocessing for model training and evaluation
Document experiment results, insights, and methodologies in internal repositories
Take part in model review sessions and apply evaluation methods
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 (7-10 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.
Design and implement experiments and fine-tuning workflows (e.g., LoRA, QLoRA) using Python and popular ML frameworks
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.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
3–7 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.
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.
Required Qualifications - Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field. - 3–7 years of overall experience in IT and 3+ years of experience in applied machine learning/data science (including internships or academic research).
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
In the employer’s words · Read in context
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 10
Similar jobs usually come down between day 8 and day 76.
At State Street, jobs usually come down by about day 31.
From 5,460 similar postings that came down, and 363 of State Street’s. Coming down is not always a hire.
120 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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.
- 3–7 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.
- 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.
- 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.
Keywords Data Scientist, Generative AI, LLM, Applied Machine Learning, RAG, Agentic Applications, Python, Azure, Model Evaluation About State Street
- 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. Work Schedule
Complete your application on statestreet.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Data Scientist - Assistant Manager jobs there since August 2026. One came down after 0 days. One is still up.
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Senior Associate – Data Scientist
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 (7-10 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
Required Qualifications
Work Schedule
On-premise
Keywords
Data Scientist, Generative AI, LLM, Applied Machine Learning, RAG, Agentic Applications, Python, Azure, Model Evaluation
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.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bangalore, India
Working pattern and location restrictions need checking in the full posting.
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. Discover more information on jobs at StateStreet.com/careers