Senior Machine Learning Engineer

• 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

• 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

Experience with feature stores and feature engineering pipelines

• 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
• Hybrid working model with 60% remote per week
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year (for Zalando SE)
• 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