AI Engineer

The Senior AI engineer in the GSO/EU Platform team will work together with the regional Platform and brand D&A teams.

The Senior AI engineer will lead and support the lead of the global Community of Experts, which facilitates connecting the AD data professionals on a specific theme within data science (e.g. search, forecasting, personalization) in these CoE the data professionals share best practices, knowledge and algorithms.

The Senior AI engineer will be responsible from delivering analyses to owning scalable AI products that drive measurable business impact and additionally involves ownership of AI systems in production and enabling cross brands AI automation and reusable components., * Translate business problems into practical AI/ML solutions with measurable impact.

• Identify data requirements and prepare, process, and validate data to ensure quality, reliability, and usability.
• Apply appropriate analytical and machine learning methods based on business needs and technical constraints.
• Build, deploy, and maintain scalable machine learning models and AI services in production.
• Develop reusable pipelines, automation solutions, and shared components to improve efficiency and accelerate delivery.
• Collaborate with engineering, platform, and business teams to ensure reliable implementation and integration.
• Monitor model and system performance, troubleshoot issues, and drive continuous improvements.
• Generate insights from data and communicate findings and recommendations clearly to stakeholders.
• Contribute to best practices in testing, deployment, and MLOps.

What’s in it for you?

We ask a lot. (We’re looking for the best, after all). But we offer a lot, too.

So, what do we have in store for you? We offer flexible hours and a hybrid working model, allowing you to work both from home and at the office. We provide competitive benefits to support health, well-being and your professional growth. This includes: a significant budget on benefit platform and a yearly bonus. At AD01 we welcome everyone, just the way you are, and encourage individual growth with valuable opportunities and a worldwide across-brand network.

We think you’ll be best geared for success if you can meet the following requirements:

• Strong experience with Azure Cloud Platforms, Databricks and Pyspark.
• Experience using modern software development practices (IDEs, Unit testing, Version Control, CI/CD, etc.).
• Experience with generative AI-assisted coding (GitHub Copilot, Claude Code, or similar) and the ability to prompt effectively, assess suggestions critically, and uphold security and quality standards.
• Experience in making architectural decisions within domain and ensures model lifecycle management.
• Advanced knowledge in AI systems design, architecture, and production-level MLOps.
• Leads development of AI platform components, reusable services, and production-grade algorithms.

It goes without saying that so-called ‘soft skills’ are just as important as their ‘hard’ cousins. We highly value:

• Experience working within a structure with international teams
• Be flexible, curious, proactive, reliable and have a true hands-on mentality
• Team player; involves others, shares knowledge and seeks opportunities for cross functional working and collaboration
• Must be results oriented; demonstrates a “can-do” attitude - adaptability, flexibility and resourcefulness