Senior Machine Learning Engineer (All genders)
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+2 more
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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
The Most Popular IT Jobs on the Market
7 Most Popular Web Developer Jobs in Europe
Highest Paying Tech Companies in Europe
Frontend Developer Salary in Germany [2023]