Help & Supportcareers@gravityer.com
VP AI | PhD in Artificial Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
With over 10 years of professional experience, my core competencies lie in leading teams to develop cutting-edge AI solutions, particularly in natural language processing and data science.
Paris-Sud University (Paris XI)
PhD, Artificial Intelligence
January 1, 2016 – January 1, 2019
National Engineering School of Tunis (ENIT), University of Tunis El Manar
Engineer's degree, Information Technology
January 1, 2012 – January 1, 2015
Preparatory Institute for Engineering Studies - El-Manar (IPEIEM)
Concours national, MP
January 1, 2010 – January 1, 2012
Pioneer School Ariana
Bachelor's degree, Mathematics
January 1, 2006 – January 1, 2010
Silae
VP AI
September 1, 2025 – Present
Ville de Paris, Île-de-France, France · On-site
Zaion
VP AI & Data Factory
January 1, 2024 – August 1, 2025
Paris, Île-de-France, France
Zaion
Head of Zaion Lab AI
June 1, 2020 – May 1, 2024
Paris, Île-de-France, France
Devoteam
Artificial Intelligence Consultant
November 1, 2019 – May 1, 2020
Paris Area, France
Paris-Sud University (Paris XI)
Teaching Associate
December 1, 2016 – January 1, 2017
DAVI. The Humanizers
AI Engineer / PhD student
January 1, 2016 – October 1, 2019
France
CentraleSupélec
AI Engineer
March 1, 2015 – August 1, 2015
Région de Rennes, France
Mettler-Toledo International, Inc
Intern /Signal Processing Engineer
January 1, 2014 – October 1, 2014
Changzhou City, China
Cultural Fit Analysis
The candidate's diverse experience across academic research, consulting, and leadership roles in AI companies (Silae, Zaion, Devoteam) indicates adaptability and a broad perspective on AI applications. Their involvement in driving research and development initiatives, including AI ethics, suggests a forward-thinking and responsible approach to technology, which aligns well with innovative and ethical organizational cultures. The progression from AI Engineer to VP AI roles demonstrates ambition and a commitment to growth.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills, having built and led AI teams. Experience in contributing to executive committees (Codir) suggests strategic thinking and cross-functional collaboration. The descriptions indicate a data-driven approach and a focus on improving user experience, which are critical for operational fit. The academic background and teaching experience also suggest strong communication and knowledge transfer abilities.