Machine Learning Dataset Intern

**Job Description** The intern will support the definition and development of routines to detect performance anomalies by comparing a selected “gold” reference vehicle with other vehicles in the fleet. **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 **Profile Description** * 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 * Familiarity (even at academic level) with handling large or unstructured datasets (preferred) * Interest in anomaly detection, diagnostics, or product performance analysis * Curious and analytical mindset * Attention to detail and willingness to learn * Ability to collaborate in multidisciplinary teams within a structured, engineering-driven environment * English language skills (good knowledge to advanced) **We Offer** **Contact Person Talent Acquisition:** Mariele Lo Bianco **Interested?** If so, please use our online application tool to send your application to AVL!