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.

This internship is intended for students or recent graduates with a background in IT engineering, computer science, data science, applied mathematics, 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.

Bachelor's or Master's Degree Student

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As an intern, you will support recruitment and HR development activities, including posting job advertisements, screening CVs, conducting initial screening interviews, and managing HR documentation and records.

We are looking for someone with a strong interest in Human Resources, good communication and interpersonal skills, a team-oriented mindset, and strong organisational skills and attention to detail.

A Bachelor's or Master's degree in HR, Economics, Humanities, or a related field is required, and previous experience in HR is considered a plus.

If you are interested in this opportunity, please use our online application tool to send your application to AVL.

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