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# Senior Machine Learning Engineer (All genders)

- **Company:** Zalando SE
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Python (Programming Language), Machine Learning, Recommender Systems, Data Processing, Feature Engineering, Pytorch, Deep Learning, Cloudformation, Pyspark, Kubernetes, Machine Learning Operations, Databricks
- **Published:** August 10, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=adbd3454e10f1edf

## About the Role

* 5+ 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.
 * Strong collaboration and communication skills.
 * Experience with feature stores, real-time feature engineering or Kubernetes is a plus.

## Description

We are looking for a Senior Machine Learning Engineer to enhance Zalando's recommendation ML systems, making them more scalable, efficient, and impactful. You will play a key role in productionizing ML models, optimising pipelines, and ensuring seamless deployment of high-performing recommendation systems. Working closely with Applied Scientists, Product and Software Engineers, you will help shape the future of personalized shopping experiences for millions of customers., * Build and optimise ML pipelines for training, deploying, and monitoring recommendation 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 want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
 * do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

 * Opportunity to work from abroad for 30 (working) days per calendar year


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