(Senior) Machine Learning Engineer

Job description

General Information RaceOn is seeking a Senior Machine Learning Engineer as well as a Junior Machine Learning Engineer to architect and build production ML systems that create a competitive advantage on race day. The tasks are slightly different but candidates will be managed via the same application and more details will be available in the interview. A generalization of tasks is listed below as well as profile requirements. Any applications not matching minimum profile requirements will be ignored. Your mission: - Develop, validate, and deploy ML models for performance and operational use cases (e.g., predictive analytics, decision support, performance measurement) - Build data pipelines and analysis workflows for structured and time-series data - Implement monitoring and iteration practices for deployed models (MLOps basics) - Collaborate with engineering and performance stakeholders to translate requirements into deliverables - Contribute to ML infrastructure and codebase quality (reviews, documentation, reusable components) - Travel occasionally for live validation and stakeholder feedback (role dependent; approx. 5–6 race weekends/year for some assignments) Your profile: Work...