Help & Supportcareers@gravityer.com
Senior Machine Learning Engineer @Gorgias
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Université Paris-Saclay
Master 2 (M2), AIC: Apprentissage, Information et Contenu - Machine Learning, Information and Content
January 1, 2016 – January 1, 2017
ENSTA
Diplôme d'ingénieur généraliste, Robotique et Systemes Embarqués - Embedded Systems and Robotics
January 1, 2014 – January 1, 2017
Ecole Nationale d'Ingénieurs de Tunis
General engineering diploma, signal, computer science and system engineering
January 1, 2014 – January 1, 2017
IPEIT - Institut Préparatoire aux Études d'Ingénieurs de Tunis
Diplôme d'études universitaires de premier cycle en Maths-Physique, Mathématiques et Physique
January 1, 2012 – January 1, 2014
Gorgias
Senior Machine Learning Engineer
April 1, 2024 – Present
Paris, Île-de-France, France · Hybrid
Contentsquare
Data Scientist
March 1, 2022 – April 1, 2024
Paris, France
IBM
Senior Data scientist | Advanced Analytics Practice
December 1, 2020 – March 1, 2022
Bois-Colombes, Île-de-France, France
IBM
Experienced Data Scientist | Advanced Analytics Practice
October 1, 2019 – December 1, 2020
Bois-Colombes, Île-de-France, France
IBM
Data Scientist | Advanced Analytics Practice
February 1, 2018 – October 1, 2019
Bois-Colombes, Île-de-France, France
STMicroelectronics
Machine Learning R&D Intern
April 1, 2017 – September 1, 2017
Greater Paris Metropolitan Region
Imperial College London
Research Intern
May 1, 2016 – July 1, 2016
London Area, United Kingdom
Marquardt Group
Industrial immersion trainee
July 1, 2015 – July 1, 2015
Tunisia
OpenHack: Modern Data Warehousing
Microsoft OpenHack
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from large corporations like IBM and STMicroelectronics to a SaaS company like Contentsquare, and a startup like Gorgias. Their experience spans various sectors (finance, retail, manufacturing, user experience analytics), demonstrating adaptability. The transition from Machine Learning Engineer to Data Scientist and back indicates flexibility in roles. However, the target role is 'Data Analyst', which is a slight mismatch with their predominant 'Data Scientist' and 'Machine Learning Engineer' experience, suggesting a potential overqualification or a need to understand their motivation for this specific role.
Soft Skills & Operational Fit
The candidate's experience as a technical consultant at IBM suggests strong problem-solving and client-facing skills. Their work on R&D and industrializing AI systems indicates an ability to work independently and drive projects to completion. However, without specific project descriptions detailing collaboration or communication, it's difficult to fully assess team collaboration or stress handling.