Senior Data Scientist

CodeValue is 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.
  
  

• 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.
  
  

• 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 CodeValue’s AI community.
• Work closely with enterprise clients, translating business needs into AI-driven solutions.
  
  

• M.Sc. in Computer Science, Data Science, or related field – Required
  
  

• 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
  
  

• Experience with public cloud AI platforms (AWS / Azure / GCP).
• Experience deploying on-premise AI solutions for enterprise environments.
  
  

• 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