> Markdown version of [/jobs/ext/2729168-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2729168-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Zalando SE - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Cloud Computing, Computer Programming, Information Engineering, Distributed Systems, Memory Management, Python (Programming Language), Machine Learning, Tensorflow, Data Streaming, Pytorch, Delivery Pipeline, Apache Spark, Scikit Learn, Kubernetes, Information Technology, Apache Flink, Production Code, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/senior-machine-learning-engineer-all-genders-zalando-se-8523581 ## About the Role * Solid Foundation: You hold a degree in Computer Science, a related technical field, or have equivalent practical experience showcasing strong software engineering fundamentals. * Streaming & Data Engineering: You have significant hands-on experience designing, building, and maintaining high-throughput, low-latency data streaming applications. Practical experience with Apache Flink and Spark is highly required. * MLOps & Model Serving: You possess professional experience in machine learning operationalization, model serving (e.g., Triton, SageMaker), data version control, and workflow orchestration (e.g., Airflow or Databricks workflows). * Strong Programming Skills: You are proficient in Java and/or Python, with a strong passion for writing clean, testable, and maintainable production code. Familiarity with ML libraries (e.g., PyTorch, TensorFlow) is a major plus. * Modern Practices: You are well-versed in Agile methodologies, CI/CD pipelines, and establishing effective metrics and monitoring for large-scale distributed systems. * Collaboration & Mentorship: You have experience working closely with applied scientists and mentoring other engineers, with excellent verbal and written communication skills to bridge technical gaps across stakeholders. ## Description 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, * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree)