Who are the experts behind AI?

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4 min

While AI is now affecting all professions, some are more directly concerned. You may come across them in your company, know that they love technology and are sometimes even capable of “miracles”… without quite knowing what they are doing. Who are the main architects of Artificial Intelligence (AI)? Meet the AI Developer, the Data Scientist and the Data Engineer.

AI DEVELOPERS
THE ARTISANS

Typical profile

  • Average age: 25-40
  • Qualifications: AI developer – level 6 RNCP certification – Bachelor’s or Master’s degree
  • Main tasks:
    – Collecting, storing and making available data from an artificial intelligence project
    – Integrating artificial intelligence models and services (APIs).
    – Creating an application that incorporates an artificial intelligence service

An expert’s view

“AI developers can integrate AI services (APIs) into existing applications or develop new applications. They also use pretrained models to infuse AI into application functions.”

Eneric Lopez, Microsoft France

DATA SCIENTISTS
GIVERS OF MEANING

Typical profile

  • Average age: 28-35
  • Qualifications: Master’s or doctorate in statistics, computer science or a related scientific field
  • Main tasks:
    – Analysing and interpreting large quantities of data to gain insights from them
    – Developing predictive and algorithmic models
    – Working with business teams to understand their needs and propose data-driven solutions

An expert’s view

“Data scientists are crucial in understanding how AI models can be used to solve specific customer problems. They provide the technical and analytical expertise essential for valorising data.”

Pascal Bizzari, AVISIA

DATA ENGINEERS
THE ARCHITECTS

Typical profile

  • Average age: 30-40
  • Qualifications: A Master’s in computer science, software engineering or data engineering
  • Main tasks:
    – Designing and implementing data infrastructures
    – Managing and optimising data flows
    – Ensuring the quality and availability of data for analysis

An expert’s view

“Data engineers are in charge of setting up data infrastructures and platforms. They play a crucial role in preparing the necessary data and deploying AI products at scale.”

Pascal Bizzari, AVISIA

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