Machine Learning / Data Engineer - Reco & Lifestyle Intelligence (All Genders) in Zürich

THE ROLE & THE TEAMThe Reco & Lifestyle Intelligence team is at the forefront of realizing Zalando’s AI ambition, We build the customer and assortment understanding that lets Zalando reason about why a product fits a given customer, and translate that understanding into discovery experiences that go beyond similarity-based recommendation. The team builds core, foundational capabilities like customer and assortment intelligence powered by advanced embeddings, sequential modeling, and outfit intelligence. In parallel, the team builds interactive UX components delivering tailored product suggestions across our customer journeys, where the foundational capabilities could be integrated with. As a Machine Learning / Data Engineer in Recommendations & Lifestyle Intelligence, you will design, deploy, and scale end-to-end ML and GenAI systems powered by 100+ data pipelines for 60+ million Zalando customers. Collaborating closely with Applied Scientists, Product Managers, and Data Engineers, you will translate cutting-edge models into high-throughput, low-latency production microservices. You will take ownership of the full ML lifecycle - from feature engineering and offline training to online inference, continuous monitoring, and MLOps infrastructure.INCLUSIVE BY DESIGNAt Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well. We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)Build and optimise ML pipelines for training, deploying, and monitoring AI models.Productionize ML models by orchestrating workflows (Apache Airflow) and deploying scalable, reliable solutions on AWS for real-time and batch inference.Improve data quality and reliability for real-time and batch inference systems.WE’D LOVE TO MEET YOU IF 2+ years of experience with PySpark, ML Ops, AWS (SageMaker, CloudFormation), Apache Airflow, Python and deep learning frameworks (e.g. PyTorch).Proven experience in productionizing ML models and orchestrating ML workflows.Experience with PySpark on Databricks (or similar) for scalable data processing and ML model inference.You possess excellent communication skills in English and can articulate complex technical topics and solutions clearly and concisely.Experience with feature stores, real-time feature engineering or Kubernetes is a plus.OUR OFFEREmployee shares program40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners2 paid volunteering days a year25 days of vacation a year for full-time employeesHealth and wellbeing options (SportAbo in Zurich)Swiss SBB Halbtax (half-fare card)Mental health support and coaching availableDrive your development through our training platform and biannual peer-to-peer reviewIt’s the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the Starting Point for Fashion in Europe. We connect customers, brands, and partners across 25 markets. Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to 50 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests. Our values do.More - our sustainability strategy Follow us on Instagram: Website #J-18808-Ljbffr