Level
Senior
Ort
Berlin
Arbeitsmodell
Onsite
Job Feld
Software, Data
Anstellung
Vollzeit
Vertragsart
Unbefristetes Dienstverhältnis

Job Zusammenfassung

In diesem Job entwickelst du robuste ML-Pipelines und produktionsreife Systeme für Optimierung und Vorhersage, arbeitest mit Technologien wie Python, Databricks und Kubernetes und verbesserst die Qualität und Leistung von Modellen.

Job Technologien

Deine Rolle im Team

Build and operate production systems for optimisation, forecasting, machine learning, and Generative AI use cases.
Design scalable data and ML pipelines using Python, Databricks, Spark, Airflow, and dbt, with clear data contracts and reliable failure handling.
Enable Applied scientists to develop and evaluate models efficiently by providing reusable training, evaluation, deployment, and experiment-tracking capabilities.
Productionise models: define dependable inputs and outputs, automate deployment, monitor quality and performance, and make model behaviour traceable in production.
Develop and operate workloads in the appropriate execution environment: Databricks jobs for distributed data and ML processing, and Dockerised applications running as Kubernetes pods where that runtime is needed.
Build operational dashboards, alerts, and runbooks so that users and engineers can understand system state, identify issues, and respond effectively.
Work with product and commercial partners to convert business rules and decision requirements into maintainable software components.
Raise the engineering bar through pragmatic standards for system design, testing, code review, CI/CD, observability, and operational ownership.

Unsere Erwartungen an dich

Qualifikationen

You write maintainable production Python and follow established software-delivery practices, including automated testing, code review, and CI/CD.
You're strong in software engineering fundamentals: reliability, scalability, observability, and maintainable system design.
You understand how cloud workloads are deployed and run, including AWS, Docker containers, and Kubernetes-based execution.
You communicate clearly with both technical and non-technical stakeholders and enjoy turning ambiguous problems into dependable systems.

Erfahrung

You have 3+ years of experience building and running data or ML systems in production, for example in MLOps, data engineering, ML platforms, or ML product development.
Experience with Generative AI products, including LLM evaluation and monitoring, is a plus. Familiarity with AI-assisted development tools such as Codex or Claude Code or Co-pilot is welcome.

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 Lounge by Zalando, discounts from external partners.
2 paid volunteering days a year.
27 days of vacation a year to start for full-time employees.
Relocation assistance available (subject to prior agreement).
Family services, including counseling and support.
Health and wellbeing options (including Wellhub, formerly Gympass).
Mental health support and coaching available.
Drive your development through our training platform and biannual peer-to-peer review.