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

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.

• At least three years of professional experience as a Machine Learning Engineer, Software Engineer or Cloud Engineer, including exposure to production ML systems.

• Strong Python programming skills and experience building cloud-native solutions, ideally on AWS.

• Hands-on experience with Infrastructure as Code, such as Terraform or CDK, as well as CI/CD pipelines.

• Experience with ML platforms such as AWS SageMaker or comparable technologies, including deploying, operating and monitoring models in production.

• Solid knowledge of machine learning concepts and model evaluation; experience with recommendation systems, search, ranking, vector search or embeddings is a strong plus.

• Strong communication and collaboration skills across technical and non-technical teams, with excellent written and spoken English; German is a plus.