Join FDI as an AI and Machine Learning Intern to develop advanced models for innovative projects. This 6-month opportunity is ideal for Master's level students seeking hands-on experience in cutting-edge AI technologies.

FDI is seeking a motivated STAGIAIRE MODELES IA ET MACHINE LEARNING H/F for a 6-month internship. As part of our innovative team, you will assist in designing, developing, and optimizing AI models to support various business applications. This role offers exposure to the latest advancements in machine learning, from data preprocessing and model training to deployment and performance analysis.

Your responsibilities will include collaborating with data scientists to build predictive models, experimenting with algorithms to improve accuracy, and contributing to research initiatives. You will work on diverse projects, potentially involving computer vision, predictive analytics, or recommendation systems, depending on current needs.

This internship is perfect for BAC +5 students eager to apply theoretical knowledge in a practical setting. Gain invaluable experience at FDI, a forward-thinking company committed to leveraging AI for sustainable growth. Join us in Cholet and be part of shaping the future of intelligent technologies.

• Currently pursuing or holding a BAC +5 degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy)
• Experience with model development, training, and evaluation techniques
• Familiarity with AI concepts including neural networks, deep learning, and natural language processing
• Excellent problem-solving skills and ability to work in a collaborative team environment
• French and English proficiency; additional languages are a plus

• Competitive monthly remuneration for the duration of the 6-month internship
• Hands-on experience with real-world AI and machine learning projects
• Mentorship from experienced professionals in the field
• Opportunity to contribute to innovative solutions at a dynamic company
• Flexible working hours and potential for remote collaboration
• Networking opportunities within the tech industry
• Access to company resources and training materials