Modifier Commun : Facilitateur en Intelligence Artificielle/en

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== What is the role of the AI facilitator? The role of the AI facilitator is to bring together cybersecurity teams and data scientists: * Leading the cross-functional cyber and data science community (AI for and through cyber); * Identify ML opportunities and benefits for cyber teams in their activities (cyber and non-cyber); * Raise awareness of cyber issues among data scientists, and even facilitate access to or generation of cyber data; * Promote the implementation of IA Security champions on the operational side and provide them with intelligence. == His day-to-day activities Working directly with the CISO, you will be responsible for facilitating exchanges, interaction and collaboration with the community of data scientists. His or her cross-disciplinary knowledge of cybersecurity and interpersonal skills will enable him or her to : * Using a community of data scientists and cybersecurity teams to promote exchanges and news on cyber needs in the field * Make an inventory of the skills required and the cyber security expectations of the data scientist community in order to make them operational (training, tools, contacts, etc.) * Make cyber security teams aware of the specific issues/capabilities related to AI (attacks on companies' AI or possible uses of AI on the cyber side); * Facilitate the creation and implementation of cyber security measures to protect AI systems. Then promote their implementation. * Contribute to the implementation of "cyber" business metrics for evaluating the performance of ML models; * Relaying intelligence on incidents and public research papers - finding and promoting associated training - on attack techniques exploiting AI to AI sec champions and the community. == Expected skills == === Organisational skills === * Control of the organisation ; * Mastery of the company's processes; * Ability to analyse cyber issues, quantify their impact and draw up a project budget; * Ability to communicate with the cyber business at multiple levels (Operations / Management / Strategy / Budget / CISO). === Data science skills === * Understanding the data used for cyber security * Data manipulation and transformation * Practical ML knowledge (ML development and integration) === Cybersecurity skills === * Be a cybersecurity professional * Have skills in the field of data security * Secure data pipelines

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