Senior Machine Learning Engineer (All Genders)

Zalando GmbH; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading fashion e-commerce firm in Berlin seeks a Senior Machine Learning Engineer to enhance its ML Ops Platform team. This role focuses on building scalable ML infrastructures, collaborating across teams, and ensuring ML systems are robust and efficient. The ideal candidate should have extensive experience in Spark, ML Ops, and cloud technologies such as AWS. The company offers a hybrid working model along with various employee benefits including discounts and volunteering days.

Leistungen

Employee shares program

40% off fashion products

2 paid volunteering days a year

Hybrid working model

Relocation assistance

27 days of vacation

Health and wellbeing options

Qualifikationen

• 5+ years of experience in relevant technologies.
• Proven experience in productionizing ML models.
• Experience with Databricks for scalable data processing.

Aufgaben

• Design and build foundational ML platform components.
• Develop infrastructure for ML model management.
• Ensure ML systems are secure and compliant.

Kenntnisse

Spark

ML Ops

Data Engineering

AWS

Apache Airflow

Python

Databricks

Collaboration

Communication

Jobbeschreibung

Overview

We are looking for a Senior Machine Learning Engineer to enhance Zalando’s Machine Learning Ops Platform team, making them more scalable, efficient, and impactful. The primary focus of the work will involve contributing to the development, maintenance, and monitoring of MLOps Infrastructure, with key responsibilities including work on the Feature Store, Airflow pipelines, Databricks jobs, and associated observability systems. Additional tasks may be assigned as needed to support broader platform initiatives and evolving project requirements. Working closely with other Machine Learning Engineers, Data Scientists and Software Engineers, you will help shape the future of Zalando\u2019s DARA ML & Data platform at Zalando.

What you\u2019ll do

Design and build foundational ML platform components, including systems for data access, feature management, model training, deployment, and inference at scale.

Develop infrastructure and tooling that enable ML practitioners to experiment, version, deploy, and monitor models in a reliable and automated way.

Architect scalable, modular, and reusable systems that serve as the backbone of ML development across multiple teams.

Implement core abstractions and APIs to standardize how ML workflows are executed - from feature creation to model rollout.

Build and maintain observability and reliability tooling for ML systems, including telemetry pipelines, model health checks, and automated retraining triggers.

Establish best practices, frameworks, and reference implementations that raise the bar for engineering rigor and speed in ML delivery.

Work closely with infrastructure, data, and security teams to ensure that ML systems are secure, compliant, and production-grade by default.

Qualifications

5+ years of experience in Spark, ML Ops, Data Engineering, AWS, Apache Airflow, Python.

Proven experience productionizing ML models and orchestrating ML workflows.

Experience with Databricks for scalable data processing and ML model training.

Strong collaboration and communication skills.

Bonus: Experience with feature stores and feature engineering pipelines.

Our Offer

Zalando provides a range of benefits; heres 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 Lounge by Zalando, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start for full-time employees
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us

Inclusive by design

At 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\u2019re 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.

do.BETTER - our diversity & inclusion strategy https //jobs.zalando.com/en/our-culture/diversity-and-inclusion

Please note that all applications must be completed using the online form - we do not accept applications via email.

[e-mail]

Please note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).

In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.

If you have any questions about our recruitment process, please take a look at our FAQ page.

About Zalando

It the perfect time to join Zalando on our journey to build the leading pan-European ecosystem for fashion and lifestyle e-commerce. Help us offer an inspiring and quality multi-brand shopping experience for fashion and lifestyle products to about 52 million active customers in 26 markets. Or be part of our logistic infrastructure, software or service capabilities to help brands and retailers run and scale their entire e-commerce business, on or off Zalando. Join our Zalando ecosystem, to enable positive change for the fashion and lifestyle industry.