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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
10+ ans d'expérience dans le domaine data en tant que data scientist, ingénieur machine learning et mentor. Traitement des données tabulaires, images et texte. Veille technologique sur les dernières technos et framework (NLP, HuggingFace, LangChain, Foundation models).
Grenoble INP - Ense3
Diplôme d'ingénieur, Traitement du signal, Traitement d'image, Machine Learning et Electronique
January 1, 2011 – January 1, 2014
Lycée Saint Joseph
CPGE PCSI/PC
January 1, 2008 – January 1, 2011
Lycée Général et Technologique Philippe de Girard
Baccalauréat Scientifique option Science de l'Ingénieur
January 1, 2005 – January 1, 2008
OpenClassrooms
Mentor étudiant
November 1, 2020 – Present
Atos
Machine Learning Engineer
May 1, 2020 – Present
Aix-en-Provence, Provence-Alpes-Côte d'Azur, France
CEA - Commissariat à l'énergie atomique et aux énergies alternatives
Ingénieur Computer Vision
November 1, 2018 – May 1, 2020
Cadarache
RMS-SYSMA
Ingénieur d'études et Chef de Projet
August 1, 2017 – November 1, 2018
Aix-en-Provence, Provence-Alpes-Côte d'Azur, France
CEA - Commissariat à l'énergie atomique et aux énergies alternatives
Ingénieur Machine Learning, Traitement du Signal et Image
July 1, 2015 – July 1, 2017
Saclay
Saint-Gobain
Ingénieur stagiaire en traitement d'image
February 1, 2014 – July 1, 2014
Cavaillon
INSERM
Ingénieur stagiaire en traitement d'image
June 1, 2013 – August 1, 2013
Greater Grenoble Metropolitan Area
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
Machine Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a technically demanding ML Engineer role, given their extensive and specialized experience in Machine Learning, Deep Learning, and related fields. Their diverse project experience, from nuclear fusion machine surveillance to general data processing and mentorship, shows adaptability and a broad interest within the ML domain. The continuous engagement with cutting-edge technologies like LLMs (LangChain, HuggingFace) and certifications in Generative AI indicate a commitment to continuous learning and staying current with industry trends. The academic background and research experience further reinforce a culture of inquiry and problem-solving.
Soft Skills & Operational Fit
The candidate's experience as a 'Mentor étudiant' suggests strong communication and pedagogical skills. Roles involving 'Chef de projet' at RMS-SYSMA indicate leadership, project management, and problem-solving abilities. The consistent focus on research and development in ML/DL across various roles points to a proactive and innovative operational fit. However, without specific psychometric test results, a detailed assessment of stress handling or team collaboration is not possible.