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2 дня назад

Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
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/ML): Building and optimizing production-level ML/AI solutions and internal AI products with an accent on cloud architecture and model scaling. Focus on optimizing, tuning, and testing models while leading multidisciplinary teams to deliver business-impactful AI solutions.

Location: Amsterdam, Netherlands. Unable to provide work permit for this position. Willingness to travel to local and international clients is required.

Company

hirify.global is a global management consulting group that leverages data science and digital strategy to help clients navigate complex transformations.

What you will do

  • Lead an internal team in the development of proprietary AI products.
  • Architect and design production-level ML/AI solutions within cloud environments.
  • Guide Data Scientists in scaling, optimizing, tuning, and testing models for production.
  • Collaborate in multidisciplinary teams to deliver AI expertise for client projects.
  • Contribute to the AI community through blog articles, conference presentations, and internal training.

Requirements

  • MSc in Computer Science, Applied Mathematics, Artificial Intelligence, or a related field.
  • 2-4 years of experience building production-quality ML/Deep Learning pipelines.
  • Expert coding skills in Python and at least one of: Scala, C++, or Java.
  • Proficiency with SQL, PostgreSQL, and cloud infrastructures (AWS, GCP, or Azure).
  • Experience with Docker, Kubernetes, and Big Data technologies (Spark, Hadoop, Databricks).
  • Fluency in spoken and written English and Dutch is required.

Nice to have

  • Prior experience in Management Consulting.
  • Experience with coaching or mentoring other engineers.

Culture & Benefits

  • International environment prioritizing diversity, inclusion, and employee well-being.
  • Personal development plans with regular follow-ups and training opportunities.
  • Competitive salary package including a mobility budget and hospital insurance.
  • Performance-related bonuses and an entrepreneurial culture where innovation is encouraged.

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