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4 часа назад

Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Engineer (AI): Building and scaling production-level AI solutions for international clients with an accent on cloud architecture, MLOps, and model deployment. Focus on leading internal development teams, mentoring data scientists, and bridging the gap between complex research and impactful business applications.

Location: Must be based in Antwerp, Belgium

Company

hirify.global is a global management consulting group that leverages data science and creativity to drive digital transformation for clients worldwide.

What you will do

  • Lead internal teams in the development and delivery of AI products.
  • Design and implement scalable cloud-based machine learning architectures.
  • Guide data scientists in optimizing, testing, and deploying models into production environments.
  • Collaborate with multidisciplinary teams on complex client projects.
  • Organize internal training, workshops, and represent the company at external industry events.
  • Contribute to thought leadership by writing technical blog posts and presenting at conferences.

Requirements

  • MSc in Computer Science, AI, Applied Mathematics, or related field.
  • 2-4 years of experience in building production-quality ML/Deep Learning pipelines.
  • Expert coding skills in Python and at least one of Scala, C++, or Java.
  • Fluency in English is required.
  • Professional proficiency in Dutch is required or must be strongly developed.
  • Must have existing work authorization for Belgium.

Nice to have

  • Prior experience in Management Consulting.
  • Hands-on experience with big data technologies like Spark or Databricks.
  • Strong background in specific domains such as Computer Vision or NLP.

Culture & Benefits

  • International environment focused on diversity, inclusion, and employee well-being.
  • Personal development plan with dedicated training opportunities.
  • Competitive salary package including mobility budget and hospital insurance.
  • Performance-related bonus structure.
  • Collaborative atmosphere that encourages innovation and entrepreneurship.

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