Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle übernimmst du die Verantwortung für Produktionsmodelle, einschließlich der Auslieferung, Überwachung und Qualitätssicherung der Machine-Learning-Modelle in Echtzeit.
Job Technologien
Deine Rolle im Team
- You own models from handoff through to production: packaging, deployment, monitoring, and the decision on whether a model is ready to serve.
- You keep production models reliable - drift detection, performance monitoring, alerting and incident response when something moves.
- You own the serving and inference path: fitted pipeline artifacts, inference entry points, monitoring hooks and feature-store parity.
- You review model design and evaluation methodology before anything ships, and catch data leakage, backward-window errors and weak evaluation during development, while they are still cheap to fix.
- You extend the shared platform so it stays useful for every model, without project-specific logic leaking into shared code.
- You set the engineering standards the platform runs on as it scales across the organisation.
Unsere Erwartungen an dich
Qualifikationen
- Strong Python: typed, tested, production-grade code, and you review the work of others.
- Enough machine learning depth to challenge a pipeline on problem framing, feature engineering, model selection and evaluation methodology.
- An AI-native way of working: you use tools like Claude, ChatGPT or Copilot actively in your daily work.
- English at C1 level, written and spoken. German is not required - we work in English.
- Nice to have: Snowflake and dbt - you can pick both up here.
- Comfort operating where the answer is not defined yet.
Erfahrung
- 2+ years in production machine learning engineering, with real ownership of models after handoff - not only training them.
- Hands-on experience with a managed ML platform - SageMaker, Vertex AI, Databricks or Azure ML - plus feature stores, CI/CD for machine learning, AWS and Terraform.
- Experience mentoring colleagues or reviewing their work.
Unser Angebot
- Hybrid working: 3 days in office, 2 days remote - plus 25 'Work from Anywhere' days per year.
- 28 days annual leave.
- 2× annual career & development conversations.
- Company pension with 20% employer contribution.
- Fully paid Deutschlandticket (public transport).
- FitX membership or Urban Sports Club subsidy.
- Virtual stock options - share in the upside.
- Modern IT setup for your day-to-day work.
- Structured onboarding with buddy programme and social events.
- Lived diversity: active women's network, meditation & prayer room, dog-friendly office.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
CarOnSale
CarOnSale ist ein innovatives Unternehmen mit Sitz in Berlin, das sich auf die Digitalisierung des Automobilmarktes konzentriert. Die Plattform des Unternehmens sorgt dafür, dass der Handelsprozess für gewerbliche Händler klarer und effizienter abläuft. CarOnSale versteht sich als paneuropäischer B2B-Marktplatz, der sich an Fachleute im Gebrauchtwagensektor richtet.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer
Senior Machine Learning Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
