Senior Data Scientist - NLP/LLM

תאור משרה At our AI & GAI division, you’ll face one of the most exciting challenges in the field — developing on-prem Hebrew LLMs that will powerfuture decision-support systems for defense-grade solutions. You’ll drive the technical execution and vision of NLP & LLM innovations that pave the way for smarterlanguage-aware systems, shaping next-generation interfaces and analytics capabilities We’re looking for An experienced Data Scientist who lives and breathes NLP and LLMs. Someone eager to build meaningful technology from the ground upwith curiosity, collaboration, and impact at heart. You’ll work side-by-side with Data and AI engineers, review system architecturesmentor teams, and push the boundaries of how generative AI is applied in real operations Responsibilities Lead the development and implementation of NLP and LLM solutions for text classification, sentiment analysis, and named entity recognitionDesign and implement advanced generative capabilities for decision-support tools based on GAICollaborate with cross-functional teams to deploy NLP models in production and optimize performance and scalabilityDevelop effective text representations to transform natural language into practical featuresProvide technical guidance to engineers and serve as a hands-on technical leadTrain embedding and semantic search models (long chain, multi-agent, RAG architecture) within an on-prem environmentExplore new technologies and contribute innovative ideas in the LLM domain Requirements M.Sc. in Computer Science or Data ScienceAt least 5 years of practical experience in ML/DL developmentMinimum 3 years of hands-on experience building NLP/LLM systems (on-prem or cloud)Expert-level understanding of data science methodologies and AI systemsSolid grasp of Agile and DevOps principlesFamiliarity with public cloud big data and AI services — AdvantageActive engagement with the LLM community (Git, Hugging Face) — AdvantageTeam player with strong interpersonal skills and a broad system perspectiveHands-on technical leadership capabilities