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Machine Learning Dataset Intern (Cavriago, IT) @ AVL List GmbH

Cavriago, Emilia-Romagna, ITOnsiteFull-time
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About this role

<p>AVL Italia S.p.A. offers a job in Italy (IT) as</p> <h1 style="color:#092332;font-size:30.0pt;line-height:35.0pt"><b>Machine Learning Dataset Intern</b></h1> <h2 style="color:#092332;font-size:18.0pt;line-height:26.0pt"></h2> <p> </p><p><div>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.</div> </p> <p> </p> <p><strong>YOUR RESPONSIBILITIES:</strong></p> <p> </p> <p><ul> <li> <div>Contribute to the use of the gold vehicle as a baseline for training machine learning and deep learning models</div> </li> <li> <div>Support the analysis, cleaning, and structuring of large datasets that are currently unorganized or only partially usable</div> </li> <li> <div>Assist in preparing data for model training</div> </li> <li> <div>Help connect engineered data to product issue resolution activities</div> </li> <li> <div>Support performance comparisons across fleet vehicles</div> </li> <li> <div>Contribute to preliminary root cause analysis activities</div> </li> </ul> <p> </p> <p> </p></p> <p> </p> <p><strong>YOUR PROFILE:</strong></p> <p> </p> <p><ul> <li> <div>Students or recent graduates in IT engineering, computer science, data science, applied mathematics, or related fields</div> </li> <li> <div>Interest in machine learning and data engineering</div> </li> <li> <div>Basic understanding of data analysis concepts</div> </li> <li> <div>Awareness of the impact of data quality on machine learning results</div> </li> <li> <div>Familiarity (even at academic level) with handling large or unstructured datasets (preferred)</div> </li> <li> <div>Interest in anomaly detection, diagnostics, or product performance analysis</div> </li> <li> <div>Curious and analytical mindset</div> </li> <li> <div>Attention to detail and willingness to learn</div> </li> <li> <div>Ability to collaborate in multidisciplinary teams within a structured, engineering-driven environment</div> </li> <li>English language skills (good knowledge to advanced)</li> </ul></p> <p> </p> <p> </p><p> </p> <p> </p> <p><strong>Contact Person Talent Acquisition:</strong> Mariele Lo Bianco</p> <p> </p> <p><strong>Interested?</strong><br>If so, please use our online application tool to send your application to AVL!</p>

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