Software engineer

Koninklijke FrieslandCampina N.V.
Amersfoort, Netherlands
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Amersfoort, Netherlands

Tech stack

Artificial Intelligence
Azure
Product Management
Information Technology
Data Analytics
Machine Learning Operations

Job description

Ready to take AI out of the lab and make it run at enterprise scale? This role owns the engineering backbone that turns validated AI use cases into secure, reliable, production-grade AI products across FrieslandCampina. Why this role stands out - You lead enterprise AI engineering and MLOps, not experiments. Production, scale, and reliability and reusability are the bar. - You combine hands-on AI engineering with practice and team leadership, setting standards, architectures, and quality across domains. - You operate at the intersection of AI, platform engineering, and Responsible AI, with direct exposure to D&A leadership and strategic decisions. Your impact - Design and run scalable AI and MLOps pipelines on Azure that power real business decisions. - Turn business value levers into measurable AI product outcomes. - Ensure AI solutions are secure, explainable, observable, and compliant by design. - Build and lead a strong AI engineering team that raises the technical bar globally.

Requirements

You take ownership end to end, act with speed and decisiveness, and look beyond your own role to create impact aligned with our strategic priorities. You are pragmatic, accountable, and push ideas into production.

  • You are a hands-on AI engineering leader with strong judgment, able to balance innovation with reliability, security, and Responsible AI in an enterprise context.
  • Deep expertise in AI engineering and MLOps, including designing and running production-grade AI pipelines and platforms on Azure, with strong collaboration across data, platform, and business teams.
  • Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in Data & Analytics, with a proven...

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