Internship Opportunities

Join our team and work on cutting-edge projects in AI, machine learning, and software development. Gain hands-on experience with real-world applications and learn from industry experts.

5 Available Internships

Amazigh Language Translation System

Work on developing an AI-powered translation system capable of translating between Amazigh language and Arabic or English. Explore NLP techniques, linguistic patterns, and machine learning models.

Learning Outcomes

  • Natural Language Processing fundamentals
  • Linguistic analysis and pattern recognition
  • Machine translation techniques
  • Working with low-resource languages
  • Deep learning for NLP applications

AI for Cybersecurity

Implement AI systems for cybersecurity applications including threat detection, anomaly detection, and security automation. Learn about machine learning in security contexts.

Learning Outcomes

  • Cybersecurity principles and best practices
  • Anomaly detection algorithms
  • Machine learning for threat detection
  • Security automation frameworks
  • Real-time monitoring systems

Computer Vision for Industrial Applications

Develop computer vision solutions for industrial use cases such as quality control, defect detection, and process automation. Work with real-world industrial data.

Learning Outcomes

  • Computer vision fundamentals
  • Object detection and classification
  • Defect detection techniques
  • Image processing pipelines
  • Industrial automation integration

AI Desktop Applications Benchmarking

Research and benchmark the best options for AI desktop applications. Compare frameworks, performance metrics, and deployment strategies for desktop AI solutions.

Learning Outcomes

  • AI frameworks comparison
  • Performance benchmarking methodologies
  • Desktop application architecture
  • Model optimization techniques
  • Deployment strategies for AI apps

Mobile Development with AI Models

Build mobile applications integrated with AI models. Explore on-device AI, model optimization for mobile, and creating seamless AI-powered mobile experiences.

Learning Outcomes

  • Mobile development (iOS/Android)
  • On-device AI implementation
  • Model quantization and optimization
  • Mobile ML frameworks
  • User experience design for AI apps

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