AI & Computer Vision Engineer Intern (PFE)
Il y a 9 heures
Kairouan, Tunisie
Chromora
Temps plein
Gratuit avec email ou Google
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Company Description ESAD Tunis (École Supérieure d'Architecture, d'Audiovisuel et de Design) is a higher education institution specializing in architecture, audiovisual arts, and design. The school promotes innovation at the intersection of creative disciplines and technology, preparing learners for contemporary digital and visual industries. ESAD Tunis offers multidisciplinary programs and projects that encourage collaboration between design, media, and technical fields. The institution provides a dynamic environment for students and interns to engage with real-world challenges and develop practical skills.
Role Description The AI & Computer Vision Engineer Intern (PFE) will work full time on-site in the Grand Tunis Metropolitan Area. The intern will contribute to designing, implementing, and testing computer vision and AI solutions for visual, audiovisual, and design-related applications. Day-to-day tasks include collecting and preparing datasets, experimenting with pattern recognition and machine learning models, and integrating computer vision algorithms into prototypes or existing systems. The intern will collaborate with academic staff and project stakeholders to document results, present findings, and iterate on solutions based on feedback. The role also involves writing clear technical reports, maintaining organized code repositories, and staying informed about recent advances in AI and computer vision.
Qualifications
• Strong foundation in Computer Science and Data Science, including algorithms, data structures, and data analysis.
• Hands-on skills in Computer Vision and Pattern Recognition, with experience using relevant libraries and frameworks.
• Interest or coursework in Robotics, especially in applying AI and computer vision to real-world systems or prototypes.
• Ability to program in languages commonly used for AI (such as Python or C++), and familiarity with tools like OpenCV, TensorFlow, or PyTorch.
• Currently enrolled in or recently completed a relevant degree (e.g., Computer Science, Engineering, Data Science, or related field).
• Strong analytical and problem-solving abilities, with attention to detail and code quality.
• Effective written and spoken communication skills, and the ability to work collaboratively in a multidisciplinary environment.
• Interest in visual, audiovisual, or design contexts is a plus, as well as prior experience with project-based or research-oriented work.
• Strong foundation in Computer Science and Data Science, including algorithms, data structures, and data analysis.
• Hands-on skills in Computer Vision and Pattern Recognition, with experience using relevant libraries and frameworks.
• Interest or coursework in Robotics, especially in applying AI and computer vision to real-world systems or prototypes.
• Ability to program in languages commonly used for AI (such as Python or C++), and familiarity with tools like OpenCV, TensorFlow, or PyTorch.
• Currently enrolled in or recently completed a relevant degree (e.g., Computer Science, Engineering, Data Science, or related field).
• Strong analytical and problem-solving abilities, with attention to detail and code quality.
• Effective written and spoken communication skills, and the ability to work collaboratively in a multidisciplinary environment.
• Interest in visual, audiovisual, or design contexts is a plus, as well as prior experience with project-based or research-oriented work.