ML/Data Engineer – Reco & Lifestyle Intelligence

Zalando SE

Zürich

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 2 Tagen

Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Employee shares program

Discounts on fashion & beauty

2 paid volunteering days

25 days vacation

Health and wellbeing options

Swiss SBB Halbtax

Mental health support

Training platform & peer reviews

Zusammenfassung

Zalando SE in Zürich, Switzerland is seeking a Machine Learning / Data Engineer in Recommendations & Lifestyle Intelligence. You will design, deploy, and scale end-to-end ML and GenAI systems powering 100+ data pipelines for 60+ million Zalando customers, collaborating with Applied Scientists, Product Managers, and Data Engineers.

You will own the full ML lifecycle—from feature engineering and offline training to online inference, monitoring, and MLOps infrastructure, with emphasis on high

Qualifikationen

2+ years of experience with PySpark, ML Ops, AWS, Airflow, Python and deep learning frameworks.
Proven productionizing ML models and orchestrating ML workflows.
Experience with PySpark on Databricks (or similar) for scalable data processing and ML inference.
Excellent written and spoken English; ability to communicate complex topics clearly.
Experience with feature stores or real-time feature engineering is a plus.

Aufgaben

Build and optimize ML pipelines for training, deploying, and monitoring AI models.
Productionize ML models by orchestrating workflows and deploying scalable solutions on AWS.
Improve data quality and reliability for real-time and batch inference systems.

Kenntnisse

PySpark

ML Ops

AWS

Apache Airflow

Python

Deep learning (PyTorch)

Databricks

Kubernetes

SageMaker

CloudFormation

Tools