Image Processing Engineer - Industrial Vision for Authentication

SICPA

Prilly

Vor Ort

CHF 90.000 - 130.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

SICPA seeks an Image Processing Engineer in Prilly to develop and optimize image processing and computer vision solutions for machine-readable authentication systems. You will work on feature detection, segmentation, and OCR, while collaborating with optics, electronics, and software teams to ensure robust performance in embedded environments.

The role emphasizes algorithm development, data analysis, and experimental validation, with opportunities to contribute to cutting-edge security features

Qualifikationen

  • Master’s degree in Computer Vision, Image Processing, or equivalent.
  • Relevant hands-on experience in image processing and computer vision.

Aufgaben

  • Develop, implement, and optimize image processing and CV algorithms for machine-readable authentication systems.
  • Design and evaluate algorithms for feature detection, classification, segmentation, and image enhancement.
  • Analyze large image datasets to extract meaningful information and improve robustness.
  • Collaborate with optics, electronics, and software teams to integrate solutions into embedded and industrial systems.
  • Perform experimental testing, validation, and benchmarking under varying conditions.
  • Document algorithms, results, and studies through reports and presentations.

Kenntnisse

Image processing
Computer vision
Python
C/C++
PyTorch
OpenCV
YOLO
ML techniques
Data analysis
Visualization

Ausbildung

Master’s degree in Computer Vision or Image Processing

Tools

Python
C/C++
OpenCV
PyTorch
YOLO

Jobbeschreibung

SICPA seeks an Image Processing Engineer in Prilly to develop and optimize image processing and computer vision solutions for machine-readable authentication systems. You will work on feature detection, segmentation, and OCR, while collaborating with optics, electronics, and software teams to ensure robust performance in embedded environments.

The role emphasizes algorithm development, data analysis, and experimental validation, with opportunities to contribute to cutting-edge security features

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