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Masterarbeit - KI-Bilderkennung für automatische Qualitätsprüfung - Remote

Posted 45 weeks ago
Data Analysis
Internship
NRW, Germany

Overview

This internship offers the opportunity to write a thesis in an innovative manufacturing company, focusing on AI image recognition for automatic quality inspection of forged parts.

In Short

  • Engage in current research and existing technologies in AI image recognition.
  • Identify specific requirements in production processes.
  • Collaborate with hardware experts for measurement technology selection.
  • Collect and preprocess image data for model development.
  • Develop and train AI models for quality feature recognition using CNNs and other ML algorithms.
  • Analyze results and visualize model performance.
  • Develop a functional prototype for automatic quality inspection.
  • Work in interdisciplinary teams to develop practical solutions.

Requirements

  • Enrolled student in Data Science, Computer Science, Engineering, or related fields.
  • Completed a significant portion of the Master's program, preferably with a focus on Data Science and AI.
  • Knowledge of relevant programming languages, especially Python.
  • Experience with tools/frameworks like Scikit-learn, Keras, Pytorch, TensorFlow, and OpenCV.
  • Quick comprehension, structured working style, and willingness to work independently and in teams.

Benefits

  • Good onboarding with a mentor.
  • Family-like company culture.
  • Mobile office options upon agreement.
  • Company and sports events.
  • Health management programs.

Translated from German

OTTO FUCHS KG logo

OTTO FUCHS KG

OTTO FUCHS KG is a forward-thinking company that shapes the future through experience, knowledge, and progress. The company is involved in various high-tech sectors, including aerospace, global transportation of people and goods, and advanced machinery engineering. OTTO FUCHS contributes innovative ideas, products, and solutions to modern architecture and urban development, making a significant impact in these fields.

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