Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (AI): Building and scaling production-level AI solutions for client projects and internal products with an accent on cloud architecture, model deployment, and software engineering best practices. Focus on guiding data scientists, optimizing ML pipelines, and leading technical initiatives within a multidisciplinary consulting environment.
Location: Maastricht, Netherlands (Onsite)
Company
is a global management consulting group that combines data-driven insights with creativity to help clients navigate change and disruption.
What you will do
- Lead internal teams in the development of AI products and solutions.
- Collaborate with multidisciplinary teams on client projects as a subject matter expert.
- Design and implement scalable cloud-based infrastructure for ML workloads.
- Guide data scientists in scaling, optimizing, and testing models for production environments.
- Develop production-grade ML/AI solutions using robust software engineering practices.
- Contribute to thought leadership through training, workshops, and industry presentations.
Requirements
- MSc in Computer Science, Applied Mathematics, AI, or related field.
- 2-4 years of experience in building production-quality ML/Deep Learning pipelines.
- Expert coding skills in Python and at least one of Scala, C++, or Java.
- Fluency in both English and Dutch is required.
- Must have existing work authorization for the Netherlands (no work permit sponsorship provided).
- Willingness to travel for client engagements.
Nice to have
- Prior experience in Management Consulting.
- Strong domain knowledge in Computer Vision, Deep Learning, or NLP.
Culture & Benefits
- International environment focused on diversity, inclusion, and social responsibility.
- Personal development plans with regular follow-ups and training opportunities.
- Competitive salary package including mobility budget and hospital insurance.
- Performance-related bonus structure.
- Collaborative atmosphere that encourages innovation and entrepreneurship.
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