As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on designing and building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global
Job Summary
As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on designing and building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global.
Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems.
Our benefits include Health & Wellness, Flexible Downtime, Continuous Learning, and Invest in Your Future.
Matching Summary
As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on designing and building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global.
Skills & Requirements
Must-have
Large Language Models (LLMs)
Prompt Engineering
MLOps practices
Python (NumPy, Pandas, PyTorch/TF 2)
End-to-end GenAI/NLP project experience
Vector Retrieval Systems
Nice-to-have
Thoughtful risk-taking
Self-initiative
Continuous learning culture
Curiosity-driven team
Thoughtful risk-taking
Key Requirements
4-8 years of relevant experience in Data Science/AI
At least 2 years in a leadership or technical lead role
Master’s or Bachelor’s in Computer Science, Statistics, Mathematics, or related field
Prior experience in the Economics/Financial industry