
Machine Learning: Scientist and/or 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
Machine Learning Engineer / Software Developer / Tech lead with a background in Artificial Intelligence, Software Development and Interdisciplinary Sciences.
WAIR - Retail Geeks
Head of Research And Development
November 1, 2023 – March 1, 2026
Amsterdam, North Holland, Netherlands
WAIR - Retail Geeks
Lead Machine Learning Scientist
November 1, 2022 – Present
Amsterdam, North Holland, Netherlands
BrainCreators
Tech lead
November 1, 2021 – October 1, 2022
BiteStreams
Freelance Software Engineer
June 1, 2021 – December 1, 2021
Amsterdam, North Holland, Netherlands · Hybrid
BrainCreators
Machine Learning Engineer
July 1, 2020 – October 1, 2022
BrainCreators
ML Research Assistent
November 1, 2019 – July 1, 2020
Omnimap
Java Software Developer
September 1, 2017 – January 1, 2020
The Randstad, Netherlands
Cultural Fit Analysis
The candidate has worked in various roles within the same company (BrainCreators, WAIR) and also freelanced, indicating adaptability. The progression from ML Research Assistant to Head of R&D shows a commitment to growth and taking on increasing responsibilities. The experience spans both research-focused and practical engineering roles, suggesting a versatile mindset. However, the lack of diverse project descriptions or explicit team collaboration details limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's progression through leadership roles (Tech Lead, Lead ML Scientist, Head of R&D) suggests strong leadership, project management, and potentially team collaboration skills. The description of autonomous problem-solving in previous roles indicates initiative. However, without specific psychometric test results or interview data, a definitive assessment of soft skills and operational fit is limited.