Role overview
- Collect, structure and process large volumes of data coming from automotive embedded systems (CSV, MF4, telemetry, sensors, CAN).
- Design and implement data ingestion and transformation pipelines.
- Clean, validate and prepare data (missing values, anomalies, normalization, feature engineering).
- Design, train and evaluate Machine Learning and Deep Learning models for thermal and vehicle performance use cases.
- Optimize and deploy predictive models into operational environments.
- Analyze vehicle and component performance in close collaboration with engineering teams.
- Work with data, IT and business teams and clearly present technical results and recommendations
What we're looking for
- Strong analytical mindset and attention to detail.
- Autonomy and ability to work in complex technical environments.
- Strong collaboration skills with multidisciplinary teams.
- Clear and effective written and verbal communication.
You are rigorous, creative, and curious, and you enjoy working as part of a team while developing your skills in a dynamic environment. You are passionate about service-oriented professions and wish to grow within a friendly and supportive work environment — join us!
Tags & focus areas
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