Thomson Reuters seeks a Lead Applied Scientist, Document Understanding, to advance semantic chunking and enrichment across legal, tax, and accounting content. You will build multi-label classifiers, knowledge graphs, and robust extraction pipelines that scale to large document collections and support downstream search and RAG workflows.You will mentor teams, shape architecture choices, and partner with engineers to deliver production-grade AI capabilities that directly impact professional #J-18808-Ljbffr
Lead AI Scientist, Document Understanding in Niedergebra
Lead AI Scientist, Document Understanding in Niedergebra
Niedergebra Vollzeit Vor Ort