Job Description
YOUR RESPONSIBILITIES:
Contribute to the use of the gold vehicle as a baseline for training machine learning and deep learning models
Support the analysis, cleaning, and structuring of large datasets that are currently unorganized or only partially usable
Assist in preparing data for model training
Help connect engineered data to product issue resolution activities
Support performance comparisons across fleet vehicles
Contribute to preliminary root cause analysis activities
YOUR PROFILE:
Students or recent graduates in IT engineering, computer science, data science, applied mathematics, or related fields
Interest in machine learning and data engineering
Basic understanding of data analysis concepts
Awareness of the impact of data quality on machine learning results
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Submit ApplicationJob Details
- Location Cavriago, Emilia-Romagna
- Job Type Full-time
- Category Computer Occupations
- Posted Date June 19, 2026
- Application Deadline July 29, 2026