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Lead Data Solutions Engineer - GenAI / ML / LLM (Hybrid Or Remote)
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$200,000 a year
Full-time
Remote
- The S&P Global Advanced Analytics & Automation: Data Engineering team combines automation, machine learning, and data engineering to improve the delivery of Ratings data & content to our analysts and customers.
- You will collaborate closely within Advanced Analytics & Automation to bring current high-profile initiatives to production; including but not limited to: Generative AI, Auto Document Tagging, Unstructured Data Extraction, ML/LLM Driven Extraction.
- Design solutions and develop automation capabilities, such as sourcing, collection, ingestion, extraction, transformation, translation, linking, chunking, feature engineering, and tagging utilizing modern and best in class techniques
- Serve as a source of knowledge for the Data Engineering team for process improvement, automation and new technologies available to enable best-in-class timeliness and data coverage
- Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps
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