обновлено 20 дней назад
Software Engineer - AI/ML (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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