Senior Applied Scientist, Semantic Search & Legal AI

CHE003 Thomson Reuters Enterprise Centre GmbH; Zug; Hybrid; CHF 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Hybrid Work Model

Two offices (Zug, London)

Zusammenfassung

Thomson Reuters Enterprise Centre GmbH seeks a Senior Applied Scientist (NLP/GenAI) to design, build, and deploy end‑to‑end AI solutions for complex legal documents. You will work on semantic chunking, document enrichment, and knowledge graph construction to support search and research across tax, legal and accounting content.

You will collaborate with engineering and product teams, publish research, and advance production systems with efficient LLM‑based solutions while balancing accuracy and

Qualifikationen

• PhD or Master’s with strong research background in NLP or AI.
• Hands-on experience building document understanding or knowledge graph systems.
• Proven ability to translate complex problems into scalable AI solutions.

Aufgaben

• Design and deliver end‑to‑end AI solutions for document understanding in the legal domain.
• Develop models for semantic chunking and document enrichment across diverse content.
• Build knowledge graphs and data pipelines powering search and analysis.

Kenntnisse

Python

Deep Learning

NLP

Research

Ausbildung

PhD in CS/AI/NLP

Master's with equivalent experience

Tools

PyTorch

HuggingFace Transformers

DeepSpeed

Jobbeschreibung

Thomson Reuters Enterprise Centre GmbH seeks a Senior Applied Scientist (NLP/GenAI) to design, build, and deploy end‑to‑end AI solutions for complex legal documents. You will work on semantic chunking, document enrichment, and knowledge graph construction to support search and research across tax, legal and accounting content.

You will collaborate with engineering and product teams, publish research, and advance production systems with efficient LLM‑based solutions while balancing accuracy and