About the job

THE ROLE & THE TEAM

Zalando Marketing Services (ZMS) stands for a new era of marketing in fashion e-commerce. We enable fashion, beauty, and lifestyle partners to engage with +60 million active customers across European markets on Zalando and beyond, providing access to exclusive audiences and smart marketing tools. We are ambitious and committed to being the starting point of fashion for our customers and partners; therefore, we are re-founding and scaling our Applied Science and Engineering backbone for Ads Personalization, working backwards from user, content, and context understanding.

In ZMS Tech, we are currently evolving our real-time inference sponsored prediction system and building a brand-new Ad candidate retrieval system to deal with millions of sponsored ads opportunities in a real-time, low-latency, and high-volume fashion. As a Senior ML/Data Engineer, you will work with a talented cross-functional team made up of Applied Scientists, Software Engineers, Data Engineers, Product Managers, and Designers. Together, you will build and scale data pipelines and machine learning infrastructure for our next-generation AdTech platform.

INCLUSIVE BY DESIGN

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!

At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace https //jobs.zalando.com/en/our-culture/diversity-and-inclusion

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Design & Architecture Play a key role in the design, architecture, and development of end-to-end data engineering and MLOps solutions with full operational responsibilities on cloud infrastructure (AWS, Databricks, Kubernetes).
• Streaming Pipelines Gather requirements and design high-throughput, low-latency batch and real-time feature pipelines using Apache Flink (Java) and Spark (Python) to provision production-grade features to our central Hopsworks Feature Store.
• System Operationalization Drive the operationalization, model serving, and maintenance (MLOps/MLaaS) of our real-time inference sponsored prediction system and new Ad candidate retrieval systems.
• Science Collaboration Collaborate closely with Applied Scientists to optimize data pipeline runtime, data quality, and model performance, latency, and memory usage.
• Operational Excellence Take ownership of the operational excellence of our AI systems, implementing robust CI/CD pipelines, continuous monitoring, and automated alerting for distributed systems to maximize scalability and reliability.
• Communication & Roadmapping Communicate effectively with product managers, data scientists, and engineering peers, translating complex engineering concepts into actionable roadmaps.
• Workflow Automation Strive to continuously improve and automate the time-to-market for the team's experimentation-to-production workflows.
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