Marnix Faes
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Team Lead at Nesto
In 2015 I graduated as a master of physics at the University of Antwerp. In my master-thesis I studied how to effectively conquer epidemics by targeted vaccination using centrality measures in graph theory. After my studies I started at ArcelorMittal as a consultant and worked on the automation of overhead cranes for transporting steel coils and slabs. My main responsibilities were developing vision software in C# to locate steel objects for automated pick-up and placement and the creation of simulation environments. After moving to Quebec in mid 2017 I started working for XpertSea as a member of their research team, where we developed machine learning and computer vision solutions in aquaculture. Currently I'm working at nesto, where we're applying the latest research in machine learning to the mortgage industry.
University of Antwerp
Master of Science (MSc), Physics
January 1, 2010 – January 1, 2015
Sint-Ritacollege Kontich
Science and Mathematics
January 1, 2004 – January 1, 2010
nesto
Team Lead Machine Learning
February 1, 2025 – Present
nesto
Senior Machine Learning Developer II
July 1, 2022 – February 1, 2025
XpertSea
Team Lead Research & ML
May 1, 2021 – July 1, 2022
XpertSea
Machine Learning Developer
September 1, 2017 – May 1, 2021
tec ICT
C#/.NET consultant
October 1, 2015 – May 1, 2017
Ghent, Flemish Region, Belgium
Cultural Fit Analysis
The candidate has a consistent career progression within ML roles, demonstrating dedication and growth. The transition from a C#/.NET consultant to a dedicated ML role shows adaptability and a strong drive towards specialization. The leadership roles at XpertSea and nesto indicate a comfort with responsibility and team guidance. The lack of diverse project descriptions outside of core ML applications might suggest a focused, rather than broad, interest, which could be a fit for a specialized ML Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a Team Lead in both Machine Learning and Research suggests strong leadership, project management, and team collaboration skills. The description of managing patent portfolios and defining OKRs indicates strategic thinking and operational awareness. The focus on creating an enjoyable working experience points to good interpersonal skills and a positive team influence.