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3 дня назад

Applied LLM Data Scientist (AI)

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

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TL;DR

Applied LLM Data Scientist (AI): Building and integrating Generative AI solutions into real business processes with an accent on agent evaluation, prompt optimization, and LLMOps. Focus on transitioning GenAI pilots to production-ready applications and ensuring reliable, scalable, and trustworthy AI impact.

Location: Hybrid (Amsterdam, Netherlands)

Company

hirify.global is a leading financial organization striving to become a fully data-driven and mobile-led bank.

What you will do

  • Lead the transition of GenAI pilots to production-ready solutions that generate measurable business value.
  • Develop and improve GenAI applications, including agents and LLM integrations, focusing on reliability and performance.
  • Evaluate and monitor GenAI behavior in production, including prompt performance and agent quality.
  • Embed GenAI solutions into existing business processes to ensure adoption and trust.
  • Ensure applications meet risk, compliance, and governance requirements through guardrails and responsible AI practices.
  • Advise technical and non-technical stakeholders on the effective use of GenAI.

Requirements

  • MSc or PhD in Computer Science, Machine Learning, AI, Mathematics, or equivalent practical experience.
  • 4 or more years of relevant hands-on experience in the field of AI.
  • Strong proficiency in writing clean, production-ready Python code.
  • Proven experience with GenAI systems, including agent frameworks (e.g., Google ADK), RAG, and LLMOps.
  • Solid data analysis skills using SQL and tools like PySpark or BigQuery.
  • Experience collaborating in cross-functional teams within an Agile Scrum environment.

Culture & Benefits

  • Hybrid working model.
  • 25-28 vacation days and a pension scheme.
  • 13th month salary and 8% holiday payment.
  • Informal working environment with innovative colleagues.
  • Opportunities for personal growth and challenging work.

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