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Software Engineer - AI/ML (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Belgium
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
Software Engineer - AI/ML (AI): Developing production-ready machine learning models, AI algorithms, and scalable systems for semiconductor manufacturing technologies with an accent on data preprocessing, model deployment, system architecture, and operational reliability. Focus on integrating AI/ML solutions into products and services, monitoring model performance, and solving complex data, modeling, and system-integration challenges.

Location: Leuven, Belgium

Company

hirify.global develops electronics and semiconductor manufacturing technologies, including systems and solutions for wafers, reticles, integrated circuits, packaging, printed circuit boards, and displays.

What you will do

  • Design, develop, validate, and deploy machine learning models and AI algorithms for business challenges.
  • Architect scalable systems for large volumes of data and complex AI/ML workloads.
  • Build robust, maintainable, secure, compliant, and production-ready AI/ML solutions.
  • Collaborate with data engineers, product managers, software developers, and business partners to integrate solutions into products and services.
  • Deploy and monitor models in production, improving scalability, performance, and reliability.
  • Document methodologies and findings and share knowledge through presentations, workshops, and internal documentation.

Requirements

  • Master’s or Ph.D. in Computer Science, Data Science, AI, or a related field.
  • At least 3 years of AI/ML experience, including deploying solutions in production.
  • Proficiency in Python, R, or similar languages and experience with TensorFlow, PyTorch, Scikit-learn, or comparable libraries.
  • Strong knowledge of statistics, machine learning algorithms, deep learning, neural networks, and system architecture.
  • Understanding of cloud platforms, DevOps, data processing, Git, CI/CD, agile methodologies, and system design patterns.
  • Ability to lead technical projects, work in matrix environments, and explain technical concepts to non-technical stakeholders.

Nice to have

  • Experience with specialized AI domains or industry-specific applications.
  • Open-source contributions or AI/ML research publications.
  • Knowledge of AI ethics and responsible AI practices.

Culture & Benefits

  • Full-time employment with a competitive total rewards package.
  • Family-friendly benefits designed for diverse employee needs.
  • Inclusive and equal-opportunity work environment.
  • Collaboration across physics, engineering, data science, software, and business functions.

Hiring process

  • Multiple interviews with hiring managers, conducted in person or by video conference.

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