Remote Lead ML/NLP Scientist — LLMs, RAG & Cloud

S&P Global; New York (NY); Remote; USD 190,000 - 206,000; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Job summary

Standard & Poor’s Financial Services LLC seeks a Lead Data Scientist to design and develop ML, NLP, and LLM solutions for batch and streaming pipelines. You will architect data ingestion, preprocessing, RAG, fine-tuning, and prompt engineering using Python, PyTorch, and Transformers, collaborating with cross-functional teams to meet technical and business goals.

You will deploy models to cloud platforms (AWS, Google Cloud, or Azure), ensure reliability and scalability in production, document

Qualifications

• Master’s degree in Computer Science, Data Science, or related IT field.
• 3 years of experience in Python, ML frameworks including PyTorch and Transformers.
• Experience with LLM architectures and deployment in production environments.
• Strong NLP, information retrieval, and vector search knowledge.

Responsibilities

• Lead design and development of ML and LLM pipelines.
• Implement RAG, fine-tuning, and prompt engineering.
• Collaborate with data science, MLOps, and engineering teams.
• Deploy models to production on cloud platforms and monitor performance.

Skills

Python

PyTorch

Transformers

LangChain

Education

Master’s degree in CS/DS

Tools

AWS

Google Cloud

Microsoft Azure

Job description

Standard & Poor’s Financial Services LLC seeks a Lead Data Scientist to design and develop ML, NLP, and LLM solutions for batch and streaming pipelines. You will architect data ingestion, preprocessing, RAG, fine-tuning, and prompt engineering using Python, PyTorch, and Transformers, collaborating with cross-functional teams to meet technical and business goals.

You will deploy models to cloud platforms (AWS, Google Cloud, or Azure), ensure reliability and scalability in production, document