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29 дней назад

Data Scientist (AI/NLP)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
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/NLP): Improving and building production AI systems that directly impact clinical care with an accent on AI-powered services, evaluation pipelines, data quality, and processing. Focus on building LLM-based systems, solving data quality challenges, and supporting scalable infrastructure for reliable AI systems.

Location: Tel Aviv District, Israel

Company

hirify.global is on a mission to deliver effective behavioral care through data, measurement, and personalization, supporting clinicians in their important work.

What you will do

  • Contribute to production AI services in Python.
  • Build and maintain evaluation frameworks and data pipelines.
  • Conduct data analysis for research, quality validation, and product decisions.
  • Support model integration and deployment workflows.
  • Collaborate with DevOps, QA, and Product teams on cross-functional deliverables.

Requirements

  • Master's degree in Computer Science, Mathematics, Statistics, Data Science, or related field.
  • 3+ years of experience with statistical and machine learning tools, strong Python programming skills.
  • Strong understanding of ML/NLP fundamentals (transformers, embeddings, language models, fine-tuning).
  • Experience building LLM-based systems beyond basic API calls (e.g., multi-step pipelines, structured outputs).
  • Solid experience with APIs, databases, and software engineering best practices.
  • Strong communication skills in Hebrew & English.

Nice to have

  • Experience with FastAPI, Flask, or similar web frameworks.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Background in healthcare, clinical data, or sensitive data handling.

Culture & Benefits

  • Hands-on experience with production AI systems in healthcare.
  • Mentorship from highly experienced data scientists and ML engineers.

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