Machine Learning Engineer
Caronsale
Berlin, Germany
1 day ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on startup.jobs
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English, German
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Continuous Integration
Information Leak Prevention
Python (Programming Language)
Machine Learning
Azure Machine Learning
Feature Engineering
Snowflake
Performance Monitor
Terraform
GPT
+1 more
Databricks
Job description
- 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
Requirements
- 2+ years in production machine learning engineering, with real ownership of models after handoff - not only training them
- 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
- 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
- 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
- Experience mentoring colleagues or reviewing their work
- Comfort operating where the answer is not defined yet
Benefits & conditions
- 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
About the company
CarOnSale is the AI-powered platform for B2B used car trading in Europe. Over 40,000 buyers from more than 20 countries trade on our platform - and 85% of inventory is exclusive to us. We connect software, pricing intelligence, logistics and financing in one layer - as the operating system for an entire industry.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on startup.jobs
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
BB
Benedikt Bischof
about 4 years ago
LM
Luis Minvielle
How to Become an AI Engineer
almost 3 years ago
BB
Benedikt Bischof
MLOps And AI Driven Development
over 4 years ago
BB
Benedikt Bischof
MLOps – What’s the deal behind it?
almost 4 years ago
LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
EF
Elizabeth Fuentes Leone, AWS Developer Advocate, GenAI
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path
10 months ago