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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
INSA Rouen Normandie
Engineer's degree, Computer Science
January 1, 2012 – January 1, 2017
Lycée Thomas Corneille
Baccalauréat, Science
January 1, 2009 – January 1, 2012
Incalia
Machine Learning Engineer
January 1, 2017 – July 1, 2019
Paris Area, France
Ninja Theory
Programming Intern
June 1, 2016 – August 1, 2016
Cambridge, United Kingdom
Saagie
Project manager & programmer (INSA project)
January 1, 2016 – February 1, 2017
Rouen Area, France
SGA Automation
Programmer
July 1, 2015 – August 1, 2015
Rouen Area, France
AJIR - Association Junior de l'INSA Rouen-Normandie
Programmer
January 1, 2014 – January 1, 2015
Rouen Area, France
Google Cloud Certified Professional Data Engineer
Google Cloud Platform Certified
June 24, 2026 – Present
Google Cloud Certified Professional Cloud Architect
Google Cloud Platform Certified
June 24, 2026 – Present
Amazon Web Services Solutions Architect Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has experience across various industries including ML consulting (Incalia), gaming (Ninja Theory), and big data/optimization (Saagie), demonstrating a breadth of exposure. The target role is ML Engineer, which aligns well with the candidate's primary experience at Incalia. However, the lack of recent experience (last role ended in 2019) and limited project details make it difficult to fully assess current cultural fit and alignment with modern ML practices.
Soft Skills & Operational Fit
The candidate's resume indicates experience in project management (Saagie) and working on diverse projects, suggesting adaptability and potentially good collaboration skills. However, without specific assessment data on soft skills or operational fit, a definitive evaluation is not possible.