Machine Learning Dataset Intern

Location: Cavriago

Overview  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  Mariele Lo Bianco

#J-18808-Ljbffr