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Senior Data Scientist

CodeValue

CodeValue

Posted on Mar 10, 2026

Description

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.

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 CodeValue’s 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