مشروع نهاية الدراسة في علم البيانات

Training of an artificial intelligence model and AI generation, and implementation of a DevOps platform

• study artificial intelligence and generative AI models adapted to the need.
• Prepare, clean and structure the datasets necessary for training.
• Participate in training, fine-tuning and model evaluation.
• D develop scripts and APIs to exploit the trained models.
• Set up a CI/CD pipeline to automate testing and deployments.
• Containerize applications and models using Docker.
• Participate in the implementation of a DevOps infrastructure and the automation of environments.
• Implement mechanisms for performance tracking, versioning and model monitoring.
• Document the work carried out and propose areas for improvement. Company description

Desired Candidate Profile

All our positions are open to people with disabilities. Qualifications

• final year student at engineering school or in a specialized Master's program in computer science, artificial intelligence, Data Science or DevOps.
• Good knowledge of Python programming.
• Knowledge of Machine Learning, Deep Learning and Generative AI.
• Concepts in data processing and preparation.
• Knowledge of DevOps tools: Git, Docker and CI/CD pipelines.
• Knowledge of Kubernetes, MLflow, Jenkins, GitLab CI/CD or cloud platforms is an asset.
• Basic knowledge of REST APIs and backend development.
• Analytical mind, rigor, autonomy and problem-solving skills.
• Technical curiosity, team spirit, and proactive approach