Description
The internship supports the implementation of client projects. Candidates should be studying computer science, electrical engineering, or a comparable course, have basic knowledge of statistics, stochastics, or machine learning, and have initial experience with a modern programming language such as Python, Java, Rust, or Go. The employer offers practical experience, mentoring, flexible working hours, home office, and professional development.
