Détails de l'annonce
Référence:
215323
Publiée le:
28 janvier 2025
Type de poste:
SIVP
Lieu de travail:
Sousse, Tunisie
Expérience:
Moins d'un an
Étude:
Bac + 5
Rémunération proposée:
1200 - 2000 DT / Mois
Disponibilité:
Plein temps
Langues:
Arabe , Français , Anglais
Mobilité:
Locale, International
Entreprise:
anonymous logo
Entreprise Anonyme
Secteur: autres
Taille: Entre 20 et 100 employés
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.