Senior Machine Learning Engineer (All genders)

Zalando SE
Berlin, Germany
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Python (Programming Language) Machine Learning Recommender Systems Data Processing Feature Engineering Pytorch Deep Learning Cloudformation Pyspark Kubernetes
+2 more
Machine Learning Operations Databricks

Job 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

Requirements

  • 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.

Benefits & conditions

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review

About the company

It’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 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 48 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

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