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10 часов назад

AI Engineering Team Lead (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Belgium/Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineering Team Lead (AI): Overseeing the delivery of strategic AI initiatives across the portfolio with an accent on technical leadership and stakeholder management. Focus on translating business priorities into executable plans and guiding the production deployment of scalable AI/ML solutions.

Location: Remote (Hungary) or Hybrid (Leuven, Belgium)

Company

hirify.global, part of Thermo Fisher Scientific, focuses on transforming lives by unlocking better clinical evidence through innovative technology.

What you will do

  • Lead the planning, execution, and delivery of multiple AI initiatives, ensuring they meet scope, timelines, and business objectives.
  • Mentor and coach AI and Software Engineers to build a high-performing project team.
  • Partner with stakeholders across product, science, and clinical operations to define requirements and success metrics.
  • Translate business needs into technical roadmaps, delivery plans, and resourcing strategies.
  • Guide solution design, model integration, testing, and production deployment of AI-powered platforms.
  • Drive high-quality AI research and engineering practices while ensuring scalability and compliance.

Requirements

  • 7+ years of experience in software engineering, AI engineering, or machine learning.
  • 2+ years of experience leading technical teams or cross-functional delivery efforts.
  • Strong proficiency in Python and familiarity with AI/ML tooling, backend services, APIs, and data pipelines.
  • Proven experience with cloud-based architectures and production deployment of AI solutions.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Nice to have

  • Experience in healthcare, life sciences, biotech, or other regulated environments.
  • Familiarity with generative AI, LLM-enabled workflows, and retrieval systems.

Culture & Benefits

  • Competitive compensation package.
  • Attractive benefits focusing on security, flexibility, and employee well-being.
  • Flexible work arrangements with remote or hybrid options.

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