Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you take ownership of production models, including deployment, monitoring, and ensuring the quality assurance of machine learning models in real-time.
Job Technologies
Your role in the 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.
- Sie legen die technischen Standards fest, auf denen die Plattform beim Skalieren in der Organisation basiert.
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Our expectations of you
Qualifications
- Strong Python: typed, tested, production-grade code, and you review the work of others.
- Ausreichende Tiefe im maschinellen Lernen, um eine Pipeline bei der Problemformulierung, Feature Engineering, Modellauswahl und Evaluierungsmethodik herauszufordern.
- 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.
Experience
- 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.
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What we offer
- Hybrid working: 3 days in the office, 2 days remote - plus 25 'Work from Anywhere' days per year.
- 28 days of annual leave.
- 2× annual career & development conversations.
- Betriebliche Altersvorsorge mit 20 % Arbeitgeberzuschuss.
- Fully paid Germany Ticket (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.
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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
CarOnSale
CarOnSale is an innovative company based in Berlin that focuses on the digitalization of the automotive market. The company's platform ensures that the trading process for commercial dealers is clearer and more efficient. CarOnSale positions itself as a pan-European B2B marketplace aimed at professionals in the used car sector.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier
Senior Machine Learning Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
