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4 дня назад

Engineering Manager AI

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Germany
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
Engineering Manager AI (Machine Learning): Leading and growing a distributed EU-based AI and Machine Learning team with an accent on people leadership, engineering quality, and cross-country collaboration. Focus on coaching Data Scientists and Machine Learning Engineers, improving delivery processes, and guiding architectural decisions for production engineering practices.

Location: Wietmarschen-Lohne, Germany; home office possible

Company

hirify.global builds technology solutions for critical infrastructure in harsh environments across sensors, autonomous robotics, and AI.

What you will do

  • Manage a distributed team of Machine Learning Engineers and Data Scientists through regular 1:1s, development goals, performance reviews, and career growth.
  • Build a high-trust team culture across countries and time zones, supporting transparency, ownership, and continuous learning.
  • Support delivery cadence, remove blockers, and drive engineering standards covering CI/CD, code review, cloud automation, monitoring, and documentation.
  • Identify process gaps and implement improvements that increase delivery effectiveness.
  • Collaborate with engineering teams and stakeholders in Germany, the Netherlands, the US, and the UK.
  • Contribute to technical discussions, architectural decisions, and AI/software leadership topics.

Requirements

  • 7+ years of software engineering experience including AI/ML, with 3+ years in people leadership or team management.
  • Experience managing cross-disciplinary engineering teams and distributed or remote teams.
  • Strong coaching, feedback, performance-management, communication, and organizational skills.
  • Fluent German and English required; Dutch is a plus.
  • Degree in Computer Science, AI/ML, Software Engineering, or equivalent professional experience.
  • Entrepreneurial mindset and servant-leadership approach.

Nice to have

  • Hands-on experience with AI/ML systems in production.
  • Experience in industrial, safety-critical, or regulated environments such as oil and gas, subsea, energy, or defense.
  • Familiarity with the EU AI Act or similar frameworks.
  • Experience within a European parent organization.

Culture & Benefits

  • Flexible working hours and home office options.
  • Career and development opportunities in an international, long-term-oriented group.
  • Open and informal corporate culture with social events.
  • Company-owned daycare center and employer-funded pension benefits.
  • Company restaurant in Wietmarschen-Lohne, sports activities, and leasing offers for IT products and bicycles.
  • Discounted insurance and employee shopping benefits.

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