Ingénieur en Intelligence Artificielle (IA)

An AI engineer designs, develops, and optimizes systems capable of performing tasks that normally require human intelligence, such as speech recognition, computer vision, or natural language processing.

Main Responsibilities:

• Develop machine learning and deep learning models.

• Collect, clean, and analyze large amounts of data (big data).

• Deploy AI algorithms in applications or industrial systems.

• Keep up with technological advances in AI.

• Collaborate with multidisciplinary teams (data scientists, developers, project managers).

Key Skills:

• Proficiency in programming languages: Python, R, Java, C++.

• Knowledge of AI frameworks: TensorFlow, PyTorch, Scikit-learn.

• Strong skills in mathematics, statistics, and algorithms.

• Ability to solve complex problems and model processes.

Education and Career Path:

• Degree in computer science, applied mathematics, statistics, or engineering.

• Possible specializations in machine learning, data science, or robotics.

Career Opportunities:

• Senior Data Scientist

• AI Solutions Architect

• AI Project Manager or Consultant