Machine Learning Ops Engineer - Personalization (m|w|d)

Everyone at idealo bases decisions on data. Our vision is to transform idealo from a transactional price comparison platform into a personalised shopping companion that inspires users throughout their entire product discovery journey.

To make this vision a reality, we are looking for a Machine Learning Engineer (m|f|x) who is passionate about building scalable, cloud-native machine learning systems. Working in a cross-functional team alongside Product Managers, UX Designers, Software Engineers and Data Scientists, you will help create personalised experiences that make shopping more relevant, engaging and inspiring for millions of users.

About your new role

You will help shape one of idealo's most strategic product initiatives: Personalisation.

You will work closely with our Data Scientists throughout the entire machine learning lifecycle. While they focus on developing and validating machine learning models, your focus will be designing the cloud infrastructure, ML pipelines and operational tooling that enable these models to run reliably, scale efficiently and continuously improve in production.

In this role, you will:

• Build and operate scalable machine learning infrastructure on AWS.

• Design, develop and deploy production-ready ML pipelines covering training, inference, monitoring and automated retraining.

• Bring machine learning models into production for personalized recommendations, discovery feeds, search ranking and related use cases.

• Build cloud-native infrastructure using Infrastructure as Code and modern CI/CD practices.

• Ensure the high availability, observability and operational excellence of ML systems.

• Collaborate closely with Software Engineers, Data Scientists, Product Managers and UX Designers to continuously improve personalized customer experiences.