Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will build robust ML pipelines and production-ready systems for optimization and forecasting, using technologies like Python, Databricks, and Kubernetes, while improving model quality and performance.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- Zalando offers a range of benefits; here is an overview of what you can expect.
- Employee shares program.
- 40% Rabatt auf Mode- und Schönheitsprodukte, die von Zalando verkauft und versendet werden, 30% Rabatt auf Lounge by Zalando, Rabatte von externen Partnern.
- 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.
- Advance your development through our training platform and biannual peer-to-peer review.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Zalando SE
Zalando is the leading online fashion platform in Europe, connecting customers, brands, and partners in 17 markets. We offer the latest styles and trends from the best fashion brands around the world, all in one place. With Zalando, you can find the perfect outfit for any occasion, whether you're looking for casual wear, formal wear, or something in between. We also offer a wide range of sizes and styles to suit every customer's needs. Shop with us today and see why we're the leading fashion destination in Europe.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)Workingconditions
4.4Culture
3.5Engineering
3.1Career Growth
2.6
Senior Software Engineer - Machine Learning
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
