Senior Data Scientist - NLP, LLM and GenAI

The Senior Data Scientist - NLP, LLM and GenAI role is a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas.

Requirements

• Design solutions utilizing NLP models including chat assistants and RAG systems.
• Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tunning and alignment (SFT, RLHF, DPO)
• NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics.
• Deploy NLP models ensuring latency, reliability, and scalability.
• Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking.
• Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems.
• Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
• Actively research, explore and identify the latest relevant methods and technologies

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.