Artificial intelligence experts design and develop computer programmes that mimic human cognitive abilities in order to solve problems.
They analyse data, programme artificial intelligence solutions and design predictive models to meet a given need. Their job can be broken down into two main activities: working with data, where they handle information flows, analyse data tables and carry out statistical studies, and working with algorithms, where they programme artificial intelligence solutions and develop predictive models.
Mastery of AI programming languages such as Python, Java and C++. They have extensive experience in software development to create algorithms, and in machine learning to design, train and evaluate machine learning models.
Knowledge of neural networks and deep learning as well as the use of the TensorFlow and PyTorch frameworks hold no secrets for this AI expert. They also have skills in natural language processing and computer vision, combined with a good grasp of mathematics and statistics.
In terms of interpersonal skills, AI engineers are good communicators who know how to unite internal and external players around projects. They understand the needs and shortcomings of the stakeholders involved in a project and guide the development of solutions accordingly.
As a designer, he or she demonstrates rigour, perseverance and imagination in developing effective IT tools. These personal qualities, combined with tenacity, creativity and resistance to stress, make this profile an expert in the field of AI.
To become an expert in Artificial Intelligence, you need at least 5 years' higher education. Some candidates go on to doctoral studies to deepen their knowledge and increase their chances of finding a job. Specialisation in the field of AI is appreciated.
It is possible to make a professional transition to positions with leadership responsibilities, such as Director of Artificial Intelligence, Strategic Director for cross-functional IT projects or even more general management positions such as Director of Innovation, CDO (Chief Digital Officer) or CTO (Chief Technical Officer).