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Salary
$33k – $55k per year (Estimated)
Location
In office (Bielefeld)
Seniority
Intern
Employment
Internship
Overview
Company
Impact
Profile match
Miele is a global manufacturer of premium domestic appliances and commercial equipment, renowned for its German engineering, precision craftsmanship, and durable design. The company's product line spans luxury kitchen appliances, laundry systems, vacuum cleaners, and specialized medical or laboratory cleaning devices designed for long-term operational performance.

About Miele

What does it take for a family-run company to become world market leader in the premium domestic appliance segment? It takes more than offering average products, run-of-the-mill serviceor short-sighted actions. It also requires the aspiration to do it forever better and to be forever better. This stance accounts for a goodworking environment at Miele and the success of our products. Our colleagues can rest assured that those who live up to our standards of quality and professionalism grow personally and professionally. No matter if they are apprentices or managers.

Make our claim your challenge - whether in Gütersloh, Melbourne or Singapore! Become one of more than 23,000 Miele employees in 50 countries around the

world who are committed to making our products even better every day - and help us to expand our innovation leadership.

About your workplace

Das ist die Aufgabe

Im Rahmen der Digitalisierung von Montageprozessen wird ein bildunterstütztes Assistenzsystem entwickelt, das Werker bei der Ausführung ihrer Tätigkeiten hilft. Ziel ist es, Bilddaten auszuwerten und lagebezogene Informationen direkt in die Bilder zu integrieren und anzuzeigen. Dazu gehört:

  • Konzeptentwicklung für den bestehenden Montageprozesse und der Bilddaten

  • Aufzeigen der Handlungsoptionen unter Berücksichtigung einer Marktanalyse

  • Implementierung eines Prototyps zur Lagebestimmung und Informationsdarstellung im Bild

  • Evaluierung der Lösung hinsichtlich Genauigkeit, Benutzerfreundlichkeit und Integrationsfähigkeit

Das überzeugt uns

  • Studium im Bereich Informatik, Elektrotechnik, Automatisierungstechnik oder vergleichbar

  • Erste Erfahrungen in der Bildverarbeitung (z. B. mit OpenCV)

  • Kenntnisse in mindestens einer Hochsprache (z. B. , C++, Java)

  • Interesse an industriellen Anwendungen und Mensch-Maschine-Interaktion

  • Selbstständige und strukturierte Arbeitsweise

  • Kreativität und Teamfähigkeit

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