Senior Machine Learning Engineer (All Genders)
Zalando SE
Berlin, Germany
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Berlin, Germany
Tech stack
API
Airflow
Amazon Web Services (AWS)
Information Engineering
Data Security
Python
Machine Learning
Data Processing
Feature Engineering
Spark
Build Management
Machine Learning Operations
Databricks
Job description
- 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.
Requirements
Do you have experience in Spark?, * 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.
Benefits & conditions
- 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, 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 (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
Recruiter
Anik Kumar Biswas