Generative AI Data Scientist

October 29

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S&P Global

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Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence

10,000+

Description

• Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. • Work closely with other data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions. • Develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. • Implement model optimizations to improve system efficiency. • Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. • Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. • Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. • Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

Requirements

• Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. • 5+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. • Demonstrated 4+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. • Expert in python programming. • 2+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. • 2+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. • Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI) • Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. • Familiar with higher level trends in LLMs and open-source platforms. • Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body. • Flexible Downtime: Generous time off helps keep you energized for your time on. • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.