8 часов назад
Data Science Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Engineer (AI) (Python/ML): Building, evaluating, and shipping machine learning and AI models from initial business questions through customer-facing production products with an accent on internal data science consulting, generative AI, and hospitality applications. Focus on researching advanced AI capabilities, supporting important data domains, and determining whether solutions are ready for customer use.
Location: Ghent, Belgium; hybrid work
Company
is an AI-powered hospitality SaaS platform that transforms hotel data into real-time commercial intelligence.
What you will do
- Partner with internal teams and provide data science expertise through consulting, review, and hands-on project delivery.
- Build, evaluate, and ship machine learning and AI models for customer-facing use.
- Take models and AI products from initial business questions through production.
- Ramp up on important data domains to provide ongoing support and maintenance.
- Research advanced AI developments and experiment with their application in hospitality.
- Collaborate with stakeholders to assess whether solutions are ready for customers.
Requirements
- Proven experience in data science.
- Experience using Python to develop machine learning or AI solutions.
- Experience with cloud orchestration and generative AI.
- Track record of taking machine learning models or AI products into customer-facing production.
- Strong communication skills and experience addressing ambiguous data science problems with stakeholders.
- Fluency in English and ability to work independently on data science projects.
Nice to have
- Experience in a SaaS environment.
- Consulting background with experience delivering production-ready data science work.
Culture & Benefits
- Hybrid work with access to global offices and flexible working arrangements.
- Flexible time off and support for work-life balance.
- Career development through workshops, training, tools, and frameworks.
- Mobility budget or company car depending on job category.
- Home-office net allowance, lunch and eco vouchers, health insurance, and pension funding.
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