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4 дня назад

Data Scientist (AI)

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

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TL;DR

Data Scientist (AI): Develop and productionize ML/AI models powering classifications and insights with an accent on sensitive data classification using LLMs, NLP, and classic ML techniques. Focus on end-to-end research process including feature engineering, model deployment, evaluation, and collaboration with product and engineering teams.

Location: Tel Aviv

Company

Building the security operating model for the age of AI, providing a unified control plane for securing data, access, and AI models across humans, systems, and AI.

What you will do

  • Own end-to-end research process: problem identification, feature engineering, model development, deployment, analysis, and refinement.
  • Develop, evaluate, and maintain ML and NLP solutions for sensitive data classification, clustering, text extraction, document analysis, and tabular data.
  • Partner with Product and Engineering to turn data-security challenges into experiments and shipped features.
  • Generate insights from large user data to enhance classification capabilities at scale.
  • Collaborate closely with engineers, data analysts, and security researchers.

Requirements

  • BSc in computer science, math, physics, or related field
  • 5+ years as data scientist
  • Experience with data pipelines and big-data analytics
  • Solid ML foundations: classic ML (SVM, trees, clustering), neural networks, optimization, data handling, evaluation metrics
  • Expertise in LLMs: prompt engineering/tuning, task adaptation (SFT, PEFT/LoRA), RAG, production deployment with safety/latency/cost controls
  • 3+ years programming in Python or similar
  • Self-learner, quick to adopt new technologies

Nice to have

  • Experience in NLP
  • MSc in computer science, math, physics, or related field

Culture & Benefits

  • Collaborative, innovative, and agile environment with inclusive and supportive culture.
  • Focus on teamwork, personal and professional growth.
  • Open to diverse backgrounds and perspectives.

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