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Posted 1w ago

Machine Learning Dataset Intern (Cavriago, IT)

@ AVL
Cavriago, Italy, Italy
OnsiteInternship
Responsibilities:train models, analyze data, clean data
Requirements Summary:Internship for IT engineering, computer science, data science, or applied mathematics; basic data analysis; handling large/unstructured datasets; interest in anomaly detection, data engineering.
Technical Tools Mentioned:Python, SQL, Pandas, Machine Learning, Deep Learning
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Job Description

AVL Italia S.p.A. offers a job in Italy as


Machine Learning Dataset Intern



 

Short 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.


 


Tasks & Responsibility


 


Under the guidance of senior engineers and data scientists, the intern will contribute to using the gold vehicle as a basis for training machine learning and deep learning models. A key part of the role involves assisting in the analysis, cleaning, and structuring of large datasets that are currently unorganized or only partially useful for model training. The intern will also help connect engineered data to product issue resolution activities, supporting performance comparisons and preliminary root cause investigations.


 


Requirements


 


This internship is intended for students or recent graduates with a background in IT engineering, computer science, data science, applied mathemathics or a related field, who are interested in machine learning and data engineering. The candidate should have a basic understanding of data analysis concepts and an awareness of how data quality can impact machine learning results. Familiarity with handling large or unstructured datasets, along with an interest in anomaly detection, diagnostics, or product performance analysis, is desirable. The role requires a curious and analytical mindset, attention to detail, and a willingness to learn, as well as the ability to collaborate with multidisciplinary teams in a structured, engineering-driven environment.


 


Education


 


Bachelor's or Master's Degree Student


 


Additional Qualification


 


English language skills (good knowledge to advanced)


 

 


 


Contact Person Talent Acquisition: Mariele Lo Bianco


 


Interested?
If so, please use our online application tool to send your application to AVL!