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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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