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Artificial Intelligence Consultant

The Artificial Intelligence Consultant helps companies integrate AI technologies to improve their processes, products or services, while providing strategic and technical support.

Les formations :
  • Engineering degree in artificial intelligence, computer science or applied mathematics
  • Master in data science, machine learning or artificial intelligence
  • Certifications in AI technologies and machine learning frameworks (TensorFlow, PyTorch)

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Les principales compétences demandées :
  • Mastery of machine learning and deep learning algorithms
  • Knowledge of programming tools and languages (Python, R, Java)
  • Ability to analyze and solve complex problems
  • Knowledge in data processing and big data
  • Communication and project management skills
  • Knowledge in AI ethics and regulation

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Voir les offres disponibles sur Grimp
Salaire de départ  (mensuel net) :
€3,500 - €4,000

Les missions

The Artificial Intelligence Consultant is responsible for supporting companies in the adoption of AI technologies to meet their specific needs. It starts with conducting a thorough analysis of business processes and goals in order to understand how AI can be integrated to generate value.

In his role, he advises teams on the various artificial intelligence solutions that could be implemented, whether they are machine learning algorithms, natural language processing, computer vision, or recommendation systems. It proposes integration strategies and develops prototypes to test and validate solutions before they are deployed on a large scale.

The AI Consultant also oversees the development, model training and production stages, in collaboration with teams of Data Scientists and engineers. He ensures the quality of the models and their adequacy to the company's objectives, while taking into account technical, ethical and legal constraints.

In addition to the technical aspect, he acts as a mediator to explain the challenges of AI to the various stakeholders and to make teams aware of the impact and ethical implications of the technologies used. It can also train internal teams in the use of deployed solutions and their maintenance to ensure the sustainability of AI projects.

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