Caronsale
Machine Learning Engineering
Overview
You will own machine learning models from handoff through to production, including packaging, deployment, monitoring, and the decision on whether a model is ready to serve. You will build and strengthen the shared ML platform to ensure scalability and reliability.
About Caronsale
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.
Requirements & Eligibility
- 2+ years in production machine learning engineering
- Strong Python: typed, tested, production-grade code
- Machine learning depth in problem framing, feature engineering, model selection and evaluation methodology
- Hands-on experience with a managed ML platform (SageMaker, Vertex AI, Databricks or Azure ML)
- Experience with feature stores, CI/CD for machine learning, AWS and Terraform
- English at C1 level, written and spoken
Key Responsibilities
- Own models from handoff through to production: packaging, deployment, monitoring, and the decision on whether a model is ready to serve
- Keep production models reliable — drift detection, performance monitoring, alerting and incident response
- Own the serving and inference path: fitted pipeline artifacts, inference entry points, monitoring hooks and feature-store parity
- Review model design and evaluation methodology before anything ships
- Extend the shared platform so it stays useful for every model
- Set the engineering standards the platform runs on as it scales across the organisation
Disclaimer: Trace Hiring is an independent job board. We are not directly affiliated with Caronsale. Please verify all details on the official company application portal.