15 hours ago
Zürich, SwitzerlandMid Level
Responsibilities
- Build and optimize ML pipelines for training, deployment, and monitoring of AI models.
- Productionize ML models by orchestrating workflows with Apache Airflow.
- Deploy scalable and reliable ML solutions on AWS for real-time and batch inference.
- Improve data quality and reliability for real-time and batch inference systems.
- Own the full ML lifecycle from feature engineering and offline training through online inference, monitoring, and MLOps infrastructure.
- Translate advanced models into high-throughput, low-latency production microservices in collaboration with Applied Scientists, Product Managers, and Data Engineers.
Requirements
- At least 2 years of experience with PySpark, MLOps, AWS including SageMaker and CloudFormation, Apache Airflow, Python, and deep learning frameworks such as PyTorch.
- Proven experience productionizing ML models and orchestrating ML workflows.
- Experience with PySpark on Databricks or a similar platform for scalable data processing and ML model inference.
- Excellent English communication skills and the ability to explain complex technical topics and solutions clearly and concisely.
- Experience with feature stores, real-time feature engineering, or Kubernetes is a plus.
Benefits
- Employee shares program.
- 40% discount on fashion and beauty products sold and shipped by Zalando, 30% discount on Lounge by Zalando, and external partner discounts.
- Two paid volunteering days per year.
- 25 days of annual vacation for full-time employees.
- Health and wellbeing options, including SportAbo in Zurich.
- Swiss SBB Halbtax half-fare card.
- Mental health support and coaching.
- Training platform and biannual peer-to-peer review for professional development.
Tech Stack
Categories
Data EngineeringML Engineering
About Zalando
Zalando operates a European online fashion and lifestyle platform where consumers shop apparel, footwear, accessories, and beauty, and brands sell via its marketplace. The public company, founded in 2008 and headquartered in Berlin, runs its own logistics network and serves over 50 million active customers across 25 markets. Its business spans direct e-commerce, partner services, and payments and risk systems that support the platform’s operations.