Mission Critical Engineer \ Schuberg Philis
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Machine Learning Engineer with 9+ years of experience researching, developing and productizing Deep Learning models and AI pipelines
Delft University of Technology
Master's degree, Mechatronics, Robotics, and Automation Engineering
January 1, 2015 – January 1, 2018
Delft University of Technology
Bachelor of Applied Science (B.A.Sc.), Mechanical Engineering
January 1, 2011 – January 1, 2015
Liceo Scientifico Isaac Newton
Diploma di maturità scientifica
January 1, 2005 – January 1, 2010
Schuberg Philis
Mission Critical Engineer
February 1, 2026 – Present
The Randstad, Netherlands · Hybrid
Blicker
Senior Machine Learning Engineer
June 1, 2024 – February 1, 2026
Rotterdam, South Holland, Netherlands · Hybrid
Clockworks
Senior Machine Learning Engineer
June 1, 2024 – February 1, 2026
Rotterdam, South Holland, Netherlands · Hybrid
Aurea Imaging
Deep Learning Specialist
March 1, 2022 – June 1, 2024
Utrecht, Netherlands
Promaton
Data scientist
March 1, 2017 – February 1, 2022
Amsterdam Area
Accenture the Netherlands
Internship @ Deep Learning Department
September 1, 2016 – February 1, 2017
Amsterdam, Gustav Mahlerplein 90
Cultural Fit Analysis
The candidate has experience across multiple companies (Blicker, Clockworks, Aurea Imaging, Promaton, Accenture) in ML/Deep Learning roles, indicating adaptability. The transition to 'Mission Critical Engineer' at Schuberg Philis after several ML roles might suggest a broader interest or a shift in career focus, which could be explored further for cultural fit within a dedicated ML team. The lack of project descriptions makes it difficult to assess diversity of work beyond job titles.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the technical roles held. No psychometric test results are available.