Senior ML Engineer

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🕒 June 30

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SHOP APOTHEKE EUROPE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

🛒 Retail

💊 Pharmaceuticals

Healthcare Insurance • Retail • Pharmaceuticals

SHOP APOTHEKE EUROPE is a pharmacy company focused on providing healthcare and pharmaceutical services within Europe. Operating under the brand name Redcare, it emphasizes a people-first approach to pharmacy, aiming to guide individuals through their health journeys. The company is committed to sustainability, aligning its strategies with the Paris Climate Agreement to contribute positively to environmental health. SHOP APOTHEKE EUROPE also engages in public affairs, investor relations, and offers career opportunities for those interested in joining their mission-driven team.

📋 Description

• Work with colleagues from our Data & AI department and collaborate closely with 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, balancing model quality, latency, reliability, scalability, and maintainability. • Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement. • Bring models into production using our cloud-based stack and ensure they are reliable, observable, and maintainable over time. • Communicate technical decisions, assumptions, limitations, and uncertainty clearly to product, engineering, and business stakeholders. • Contribute to ML engineering standards, best practices, and knowledge sharing within the team.

🎯 Requirements

• You have several years of hands-on experience as a Machine Learning Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience. • You have built and operated production-grade machine learning systems, pipelines, or model-based products. • You have experience working with retail media, or alternatively recommender systems or ranking. • You are comfortable working with complex data and understand common ML failure modes such as data leakage, feedback loops, distribution shifts, and misleading offline metrics. • You enjoy working close to the business and can explain complex technical topics clearly to non-technical stakeholders. • You take ownership, work proactively, and are comfortable navigating ambiguity in an early-stage product environment. • You value collaboration, give and receive feedback openly, and enjoy helping others grow.

🏖️ Benefits

• Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. • Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. • If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. • We provide our employees with a fully costed Deutschland Ticket which can be used at any time. • Grow! We support and encourage your individual development through various in- and external trainings. • And many more :)