machine learning engineer in automotive

Описание

CarOnSale is an AI-powered platform for B2B used car trading in Europe. It connects software, pricing intelligence, logistics, and financing for more than 40,000 buyers across over 20 countries.

Задачи

• Own models from handoff through production, including packaging, deployment, monitoring, and readiness decisions;

• Maintain production reliability through drift detection, performance monitoring, alerting, and incident response;

• Own the serving and inference path, including fitted pipeline artifacts, inference entry points, monitoring hooks, and feature-store parity;

• Review model design and evaluation methodology before release;

• Identify data leakage, backward-window errors, and weak evaluation during development;

• Extend the shared platform while keeping project-specific logic out of shared code;

• Set engineering standards for the platform as it scales across the organisation.

Требования

• Have 2+ years of production machine learning engineering experience with ownership of models after handoff;

• Write strong, typed, tested, production-grade Python code;

• Review the work of others;

• Understand machine learning sufficiently to challenge problem framing, feature engineering, model selection, and evaluation methodology;

• Have hands-on experience with a managed ML platform such as SageMaker, Vertex AI, Databricks, or Azure ML;

• Have experience with feature stores, CI/CD for machine learning, AWS, and Terraform;

• Actively use tools such as Claude, ChatGPT, or Copilot in daily work;

• English at C1 level, written and spoken;

• German is not required;

• Nice to have: Snowflake and dbt, mentoring colleagues or reviewing their work, comfort operating where the answer is not defined yet;

Условия

• Hybrid schedule with 3 days in the office and 2 days remote;

• 25 “Work from Anywhere” days per year;

• 28 Days of annual leave;

• Two annual career and development conversations;

• Company pension with a 20% employer contribution;

• Fully paid Deutschlandticket;

• FitX membership or Urban Sports Club subsidy;

• Virtual stock options;

• Modern IT setup;

• Structured onboarding with a buddy programme and social events;

• Dog-friendly office.