Senior Machine Learning Engineer - Customer Risk

Requirements:

• Engineering-First mindset: Treat Machine Learning systems as core production software with 5+ years of experience.
• Software Craftsperson: Navigate the full software development lifecycle with 5+ years of experience.
• Expert in the ML ecosystem: Deep, hands-on experience with standard Python data science toolkit.
• Fluent in MLOps and Infrastructure: Operationalize models and work within modern infrastructure environments.
• Work end to end: Design end-to-end ML lifecycles with 5+ years of hands-on experience.

What You'll Be Doing:

• Lead: Act as the foundational ML Engineer for the Customer Risk team.
• Build: Design and scale production-ready ML models.
• Architect: Develop the core ML infrastructure for the risk engine.
• Innovate: Introduce advanced software design to modeling domains.
• Collaborate: Work with product team and leadership to drive the risk roadmap.

Nice to Haves:

• Balance complexity with pragmatism: Possess 3+ years of dedicated software design and architecture experience.
• Technical Leader: Take ownership of the roadmap and move projects from ideation to production.

Perks and Benefits:

• Diverse perspectives and backgrounds welcomed.
• Encouragement for women and underrepresented communities to apply.
• Candidate experience focus with quick application feedback.
• In-person collaboration in Amsterdam.