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8 часов назад

Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Netherlands
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

Machine Learning Engineer (AI): Design, build, and deploy advanced machine learning models to enhance generative AI capabilities with an accent on productionizing AI projects and integrating solutions into product suites. Focus on developing scalable, efficient AI systems and collaborating with interdisciplinary teams to drive impactful AI advancements.

Location: Hybrid in Groningen, Netherlands with a valid visa permit required

Company

hirify.global is a digital agency working with leading technology partners, delivering personalized customer experiences through technology, data, and creativity with a diverse international team.

What you will do

  • Develop and deploy cutting-edge machine learning models and algorithms.
  • Translate complex datasets into actionable insights for clients.
  • Collaborate with interdisciplinary teams to integrate AI solutions into products.
  • Enhance performance and scalability of machine learning systems.
  • Innovate and iterate on best practices in machine learning.

Requirements

  • Must be based in the Netherlands with a valid visa permit.
  • 2-4 years of experience in data analysis and model development.
  • Bachelor's or Master's degree in Computer Science, AI, or related field.
  • Proficiency in Python and data manipulation libraries (NumPy, Pandas).
  • Experience with generative AI frameworks or image generation models.
  • Familiarity with cloud AI suites (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Nice to have

  • Knowledge of Retrieval-Augmented Generation (RAG) techniques.
  • Experience with Java or C++.
  • Ability to work collaboratively in interdisciplinary teams.

Culture & Benefits

  • Agile way of working with flexible hours and hybrid setup.
  • Pension scheme, travel reimbursement, and company equipment.
  • Study budget, study days, and hirify.global Academy for personal development.
  • Gym membership, bike plan, parental leave, and loyalty days.
  • Working from abroad opportunities and diverse international team culture.

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