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1 день назад

Data Scientist (AI)

Формат работы
Hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Data Scientist (AI): Researching, designing, evaluating, and deploying advanced AI/ML models including LLMs, RAG systems, and Agentic AI applications with an accent on cybersecurity and identity security. Focus on solving complex real-world problems at scale, collaborating with product managers and engineers, and applying cutting-edge AI/ML techniques.

Location: Israel, hybrid work format

Company

hirify.global is a global leader in identity security, specializing in AI-powered identity security platforms to secure human and machine identities worldwide.

What you will do

  • Research, design, evaluate, and deploy advanced AI/ML models specializing in LLMs, RAG systems, and Agentic AI.
  • Analyze large-scale datasets to uncover patterns and drive actionable insights.
  • Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas.
  • Stay updated with latest AI/ML academic and industry trends and apply best practices.
  • Grow skills in classic machine learning, deep learning, NLP, LLMs, and cybersecurity applications.

Requirements

  • Location: Must be based in Israel or able to work hybrid from Israel
  • 2-4 years of hands-on experience as a Data Scientist with expertise in LLMs, RAG, or Agentic AI frameworks.
  • MSc degree in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field with thesis on Data Science and GPA above 85.
  • Strong understanding of machine learning fundamentals, data structures, algorithms, and probability.
  • Demonstrated independent research capabilities and self-driven learning approach.
  • Strong communication skills to explain technical concepts to diverse audiences.

Nice to have

  • Hands-on experience with deep learning frameworks like PyTorch or TensorFlow and NLP libraries like Hugging Face.
  • Experience with cloud platforms such as AWS or GCP and distributed data tools like Spark.
  • Knowledge or interest in cybersecurity is a significant plus.

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