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AI/ML Engineering Lead

IVIX·Израиль·en
В офисеПолная занятостьAI & Machine LearningEnterprise Software

Join an R&D team developing production AI systems that transform noisy, unstructured web data into reliable insights. The role leads initiatives using large language models, autonomous agents, retrieval-augmented generation, and applied machine learning.

Обязанности

  • Design, prototype, and deploy LLM-powered systems for information extraction, reasoning, and classification.
  • Build autonomous agents that interact with knowledge sources, APIs, and structured data.
  • Implement and optimize RAG pipelines with vector databases and LLM orchestration frameworks.
  • Evaluate and integrate AI tools and frameworks for production use.
  • Lead AI initiatives and define technical strategy from research through deployment.
  • Partner with product, data, and software teams to develop AI-powered workflows.
  • Build, manage, and mentor AI and data science teams.

Требования

  • At least 5 years of experience in traditional machine learning, including model development, optimization, and production deployment.
  • At least 2 years of experience with generative AI, including LLMs, fine-tuning, embeddings, and applied NLP.
  • Demonstrated experience leading AI initiatives from research and prototyping through production deployment.
  • Experience defining AI strategy, identifying opportunities, and aligning technical direction with business objectives.
  • Experience building or managing AI and data science teams, mentoring talent, and fostering innovation.
  • Experience with agent-based architectures, RAG pipelines, APIs, vector databases, or knowledge graphs.
  • Strong communication and leadership skills, including collaboration with executives and cross-functional stakeholders.

Будет плюсом

  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with data engineering workflows and enterprise-scale system design.
  • Experience with LangChain, OpenAI, Gemini, FAISS, Pinecone, or comparable tools.
  • Knowledge of knowledge graphs and current AI research trends.

Соответствие

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