Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du skalierbare Empfehlungen, optimierst ML-Pipelines mit Apache Airflow, und implementierst zuverlässige ML-Modelle auf AWS zur Verbesserung des Einkaufserlebnisses für Millionen von Nutzern.
Job Technologien
Deine Rolle im Team
- We are looking for a Senior Machine Learning Engineer to enhance Zalando's recommendation ML systems, making them more scalable, efficient, and impactful.
- You will play a key role in productionizing ML models, optimising pipelines, and ensuring seamless deployment of high-performing recommendation systems.
- Working closely with Applied Scientists, Product and Software Engineers, you will help shape the future of personalized shopping experiences for millions of customers.
- Build and optimise ML pipelines for training, deploying, and monitoring recommendation models.
- Productionize ML models by orchestrating workflows (Apache Airflow) and deploying scalable, reliable solutions on AWS for real-time and batch inference.
- Improve data quality and reliability for real-time and batch inference systems.
Unsere Erwartungen an dich
Qualifikationen
- Strong collaboration and communication skills.
Erfahrung
- 5+ years of experience with PySpark, ML Ops, AWS (SageMaker, CloudFormation), Apache Airflow, Python and deep learning frameworks (e.g. PyTorch).
- Proven experience in productionizing ML models and orchestrating ML workflows.
- Experience with PySpark on Databricks (or similar) for scalable data processing and ML model inference.
- Experience with feature stores, real-time feature engineering or Kubernetes is a plus.
Unser Angebot
- Zalando provides a range of benefits, here's an overview of what you can expect.
- Employee shares program.
- 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.
- 27 days of vacation a year to start.
- 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.
- Drive your development through our training platform and biannual peer-to-peer review.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Zalando SE
Zalando is die europäische Online-Plattform für Mode, die Kunden, Marken und Partner in 17 Märkten verbindet.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Handel
Arbeitgeber-Reviews
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Gesamt
(1 Bewertung)3.4
Workingconditions
4.4Culture
3.5Engineering
3.1Career Growth
2.6
Senior Machine Learning Engineer
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
