Senior Machine Learning Engineer (All Genders)

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

THE ROLE & THE TEAM

We are looking for a Senior Machine Learning Engineer to enhance Zalandos 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 DARA ML & Data platform at Zalando.

WHAT YOULL 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.

WED LOVE TO MEET YOU IF

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 //

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 youre 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.

- our diversity & inclusion strategy https // note that all applications must be completed using the online form - we do not accept applications via email.

Required Experience:

Senior IC

THE ROLE & THE TEAMWe are looking for a Senior Machine Learning Engineer to enhance Zalandos 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 Infrastruc...

THE ROLE & THE TEAM

WHAT YOULL 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.

WED LOVE TO MEET YOU IF

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