ml engineer for retail media

Redcare Pharmacy is Europe’s No.1 e-pharmacy, focused on health-related services and retail pharmacy products.

• Collaborate with Data & AI colleagues, product managers, engineers, and commercial stakeholders;
• Design, build, and operate machine learning systems for retail media use cases such as sponsored product ranking, audience segmentation, campaign optimization, attribution, and performance measurement;
• Translate business and product requirements into scalable ML solutions while balancing model quality, latency, reliability, scalability, and maintainability;
• Develop ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement;
• Bring models into production using the cloud-based stack and ensure they remain reliable, observable, and maintainable;
• Communicate technical decisions, assumptions, limitations, and uncertainty to product, engineering, and business stakeholders;
• Contribute to ML engineering standards, best practices, and knowledge sharing within the team.

• Several years of hands-on experience as a Machine Learning Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience;
• Experience building and operating production-grade machine learning systems, pipelines, or model-based products;
• Experience with retail media, recommender systems, or ranking;
• Ability to work with complex data and understand ML failure modes such as data leakage, feedback loops, distribution shifts, and misleading offline metrics;
• Ability to explain complex technical topics clearly to non-technical stakeholders;
• Ownership, proactive working style, and comfort navigating ambiguity in an early-stage product environment;
• Collaborative approach and openness to giving and receiving feedback.

• Urban Sports Club M package membership;
• Anonymous and free psychological support from Likeminded;
• Up to 20 work-from-home days per year anywhere in the EU;
• Fully funded Deutschland Ticket;
• Support for individual development through internal and external training.