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Senior ML Software Engineer(m/w/x)
Building and operating production ML/optimization systems for fashion outlet sales. 3+ years Python and ML pipeline experience required. 27+ days holiday, up to 60% remote per week.
Requirements
- 3+ years experience building/running data/ML systems
- Production-quality Python with clean architecture and tests
- Software delivery best practices (code reviews, CI/CD)
- Strong software engineering fundamentals (reliability, scalability, observability, maintainable design)
- Hands-on experience with modern data/ML tooling
- Comfortable with cloud and infrastructure concepts
- Clear communication with technical/non-technical stakeholders
- Enjoyment turning ambiguous problems into dependable systems
Tasks
- Build and operate production-grade ML/optimization systems
- Support buying decisions with ML/optimization systems
- Develop scalable data and ML pipelines
- Ensure pipeline reliability, observability, and cost-efficiency
- Own operational excellence for ML systems
- Implement CI/CD, testing, and code quality practices
- Ensure reproducibility and monitoring for ML systems
- Create incident-friendly runbooks
- Provide tooling for Applied Scientists
- Enable fast experimentation for scientists
- Build clean interfaces for ML model lifecycle
- Partner with scientists and stakeholders
- Translate business constraints into software components
- Integrate software components into buying workflows
- Build dashboards for operational visibility
- Enable teams to understand decision systems
- Facilitate continuous improvement of decision systems
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Databricks
- Spark
- MLflow
- Airflow
- DBT
- AWS
- Kubernetes
Benefits
More Vacation Days
- 27 days of holiday a year to start
- +1 day holiday per calendar year up to 30 days
Purpose-Driven Work
- 2 paid volunteering days a year
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off Zalando products
- 30% off Lounge by Zalando
- Discounts from external partners
Other Benefits
- Relocation assistance
Family Support
- Family services
- Family counseling
Healthcare & Fitness
- Health and wellbeing options
- Wellhub membership
Mental Health Support
- Mental health support
- Mental health coaching
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
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Senior ML Software Engineer(m/w/x)
Building and operating production ML/optimization systems for fashion outlet sales. 3+ years Python and ML pipeline experience required. 27+ days holiday, up to 60% remote per week.
Requirements
- 3+ years experience building/running data/ML systems
- Production-quality Python with clean architecture and tests
- Software delivery best practices (code reviews, CI/CD)
- Strong software engineering fundamentals (reliability, scalability, observability, maintainable design)
- Hands-on experience with modern data/ML tooling
- Comfortable with cloud and infrastructure concepts
- Clear communication with technical/non-technical stakeholders
- Enjoyment turning ambiguous problems into dependable systems
Tasks
- Build and operate production-grade ML/optimization systems
- Support buying decisions with ML/optimization systems
- Develop scalable data and ML pipelines
- Ensure pipeline reliability, observability, and cost-efficiency
- Own operational excellence for ML systems
- Implement CI/CD, testing, and code quality practices
- Ensure reproducibility and monitoring for ML systems
- Create incident-friendly runbooks
- Provide tooling for Applied Scientists
- Enable fast experimentation for scientists
- Build clean interfaces for ML model lifecycle
- Partner with scientists and stakeholders
- Translate business constraints into software components
- Integrate software components into buying workflows
- Build dashboards for operational visibility
- Enable teams to understand decision systems
- Facilitate continuous improvement of decision systems
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Databricks
- Spark
- MLflow
- Airflow
- DBT
- AWS
- Kubernetes
Benefits
More Vacation Days
- 27 days of holiday a year to start
- +1 day holiday per calendar year up to 30 days
Purpose-Driven Work
- 2 paid volunteering days a year
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off Zalando products
- 30% off Lounge by Zalando
- Discounts from external partners
Other Benefits
- Relocation assistance
Family Support
- Family services
- Family counseling
Healthcare & Fitness
- Health and wellbeing options
- Wellhub membership
Mental Health Support
- Mental health support
- Mental health coaching
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
About the Company
Zalando
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
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