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Computer Vision Engineer

Entreprise Anonyme Sousse Publiée le 28 janvier 2025
Expirée

Détails de l'annonce

Référence

215323

Date de publication

28 janvier 2025

Type de contrat

SIVP

Lieu de travail

Sousse, Tunisie

Expérience requise

Moins d'un an

Niveau d'études

Bac + 5

Salaire proposé

1200 - 2000 TND / Mois

Disponibilité

Plein temps

Langues

Arabe Français Anglais

Mobilité

Locale, Internationale

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Description de l'annonce

 

Enova Robotics, a pioneering robotics company in Tunisia, is seeking a talented and passionate Computer Vision Engineer to join our growing team.

In this role, you will play a crucial role in developing and implementing cutting-edge computer vision algorithms that will power our next-generation robots. You will be responsible for the entire computer vision pipeline, from data acquisition and preprocessing to model development, training, optimisation and deployment.

Responsibilities:

 

  • Design and implement computer vision algorithms for tasks like object detection, image segmentation, etc.
  • Develop and train deep learning models using frameworks like TensorFlow or PyTorch.
  • Evaluate and optimize the performance of computer vision models.
  • Integrate intelligent video analytics solutions within our Video Management Systems (VMS).
  • Collaborate with engineers and researchers to ensure seamless integration of computer vision components.
  • Stay up-to-date on the latest advancements in computer vision research and development.

 

Qualifications:

 

  • Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field (or a Bachelor's degree with relevant experience).
  • Strong understanding of computer vision fundamentals, including image processing, deep learning, and machine learning.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Experience with programming languages like Python and C/C++/C#.
  • Familiarity with embedded computing platforms such as the Nvidia Jetson.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

 

 

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