we are looking for an experienced Senior data Scientist specializing in NLP and Large Language Models (LLMs) to join our AI & data practice. In this role, you will lead the design and development of advanced NLP and Generative AI solutions, including on-premise Hebrew LLM systems, for enterprise clients across multiple industries. You will work closely with data engineers, software architects, and AI specialists to build production-grade AI systems that power decision-support tools, intelligent interfaces, and next-generation applications
Generative AI & NLP Solutions
* Lead the development of Hebrew LLM-based solutions, including on-premise deployments for enterprise environments.
* Design and implement NLP pipelines for:
* Text classification
* Sentiment analysis
* Named Entity Recognition (NER)
* Develop Generative AI applications supporting decision-support systems and intelligent user interfaces
* Build and optimize semantic search, embeddings, and Retrieval-Augmented Generation (RAG) architectures
* Implement multi-agent and long-chain LLM workflows for complex reasoning tasks. Architecture & Technical Leadership
* Provide technical leadership and architectural guidance for AI/ML solutions.
* Collaborate with data engineers, MLOps, and software teams to deploy scalable NLP models into production environments.
* Design efficient text representations and feature engineering pipelines
* Ensure solutions meet enterprise-level performance, security, and scalability requirements Innovation & Client Impact
* Analyze large-scale datasets and deliver data -driven insights that improve business processes.
* Stay updated with the latest advancements in NLP, LLMs, and Generative AI ecosystems
* Contribute to innovation initiatives and knowledge sharing within our AI community.
* Work closely with enterprise clients, translating business needs into AI-driven solutions.
Requirements: Education M.Sc. in Computer Science, data Science, or related field - Required
Professional Experience Expert-level knowledge in data Science and Generative AI methodologies - Required 5+ years of hands-on experience in Machine Learning / Deep Learning - Required 3+ years of hands-on experience implementing NLP /LLM solutions - Required
* Strong experience with modern LLM frameworks and ecosystems (Hugging Face, GitHub, open-source models, etc.)
* Experience building RAG pipelines, embeddings, semantic search, and agent-based LLM systems
* Familiarity with Agile development and DevOps practices Advantages
* Experience with public cloud AI platforms (AWS / Azure / GCP)
* Experience deploying on-premise AI solutions for enterprise environments Personal Attributes
* Strong technical leadership with hands-on capabilities Excellent communication and collaboration skills
* Ability to translate complex AI technologies into real-world solutions
* A big-picture thinker with strong problem-solving abilities
* Passion for innovation, learning, and emerging AI technologies
This position is open to all candidates.