Zalando
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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ZAZalando
Senior ML Software Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Databricks
- Spark
- MLflow
- Airflow
- DBT
- AWS
- Kubernetes
Benefits
Mehr Urlaubstage
- 27 days of holiday a year to start
- +1 day holiday per calendar year up to 30 days
Sinnstiftende Arbeit
- 2 paid volunteering days a year
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off Zalando products
- 30% off Lounge by Zalando
- Discounts from external partners
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
- Family counseling
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Wellhub membership
Mentale Gesundheitsförderung
- Mental health support
- Mental health coaching
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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ZAZalando
Senior ML Software Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Databricks
- Spark
- MLflow
- Airflow
- DBT
- AWS
- Kubernetes
Benefits
Mehr Urlaubstage
- 27 days of holiday a year to start
- +1 day holiday per calendar year up to 30 days
Sinnstiftende Arbeit
- 2 paid volunteering days a year
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 working days a year
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off Zalando products
- 30% off Lounge by Zalando
- Discounts from external partners
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
- Family counseling
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Wellhub membership
Mentale Gesundheitsförderung
- Mental health support
- Mental health coaching
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Zalando
Branche
Retail
Beschreibung
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Noch nicht perfekt?
- Zalando
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Vollzeit/Teilzeitmit HomeofficeSeniorBerlin - Zalando Marketing Services GmbH
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