GetYourGuide
Senior ML Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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ZAZalando
Senior Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Scalability and efficiency improvements for ML platforms, building Feature Store infrastructure for an online shopping club. 5+ years in Spark, MLOps, Data Engineering, AWS, Airflow, Python required. Employee shares program, 40% Zalando product discount, 2 paid volunteering days.
Anforderungen
- 5+ years experience in Spark, ML Ops, Data Engineering, AWS, Apache Airflow, Python
- 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
Aufgaben
- Enhance the MLOps platform's scalability and efficiency
- Develop and maintain Feature Store infrastructure
- Manage Airflow pipelines and Databricks jobs
- Build observability systems and telemetry pipelines
- Design foundational components for data access
- Create systems for model training and deployment
- Develop automated model versioning and monitoring tools
- Architect modular systems for cross-team ML development
- Implement core abstractions and standardized APIs
- Establish engineering frameworks and best practices
- Collaborate with infrastructure and security teams
- Ensure ML systems are secure and production-grade
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Spark
- AWS
- Apache Airflow
- Python
- Databricks
Benefits
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% Zalando product discount
- 30% Zalando Lounge discount
- External partner discounts
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Work from abroad
Mehr Urlaubstage
- 27 days of vacation
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family counseling and support
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Gympass
Mentale Gesundheitsförderung
- Mental health support
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.
Noch nicht perfekt?
- Adolf Würth GmbH & Co. KG
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ZAZalando
Senior Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Scalability and efficiency improvements for ML platforms, building Feature Store infrastructure for an online shopping club. 5+ years in Spark, MLOps, Data Engineering, AWS, Airflow, Python required. Employee shares program, 40% Zalando product discount, 2 paid volunteering days.
Anforderungen
- 5+ years experience in Spark, ML Ops, Data Engineering, AWS, Apache Airflow, Python
- 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
Aufgaben
- Enhance the MLOps platform's scalability and efficiency
- Develop and maintain Feature Store infrastructure
- Manage Airflow pipelines and Databricks jobs
- Build observability systems and telemetry pipelines
- Design foundational components for data access
- Create systems for model training and deployment
- Develop automated model versioning and monitoring tools
- Architect modular systems for cross-team ML development
- Implement core abstractions and standardized APIs
- Establish engineering frameworks and best practices
- Collaborate with infrastructure and security teams
- Ensure ML systems are secure and production-grade
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Spark
- AWS
- Apache Airflow
- Python
- Databricks
Benefits
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% Zalando product discount
- 30% Zalando Lounge discount
- External partner discounts
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Work from abroad
Mehr Urlaubstage
- 27 days of vacation
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family counseling and support
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Gympass
Mentale Gesundheitsförderung
- Mental health support
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?
- GetYourGuide
Senior ML Ops Engineer(m/w/x)
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