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Lead Machine Learning Engineer at Screenloop
Screenloop is the hiring and candidate analytics platform that helps you measure and improve the quality of your: - Process - Interviews - Hires Pratical research experience in industry and academia, on multiple machine learning topics and technologies. Major projects so far have included data analysis, classification, natural language processing as well as genetic algorithms and genetic programming. Over the years I’ve participated in various research projects with local and international teams, and have taken on roles as Data Scientist and ML Engineer in both startup and corporate environments.
Universidade de Coimbra
Doctor of Philosophy (Ph.D.), Information Science and Tecnology
January 1, 2011 – January 1, 2020
Universidade de Coimbra
Master’s Degree, Informatics Engineering
January 1, 2008 – January 1, 2011
IT-Universitetet i København
Computer Software Engineering
January 1, 2008 – January 1, 2008
Universidade de Coimbra
Bachelor’s Degree, Informatics Engineering
January 1, 2005 – January 1, 2008
Screenloop
Lead Machine Learning Engineer
January 1, 2022 – Present
InnoWave
Lead Data Scientist
January 1, 2021 – December 1, 2021
InnoWave
Data Scientist
May 1, 2020 – January 1, 2021
WinTrust - Quality Assurance by InnoWave
Machine Learning Engineer
January 1, 2019 – May 1, 2020
Lisbon Area, Portugal
Data Science Portugal
Lisbon Meetup Team
January 1, 2018 – September 1, 2019
Lisbon Area, Portugal
HOKO
Artificial Intelligence Engineer
June 1, 2016 – June 1, 2017
Lisbon Area, Portugal
University of Coimbra
Invited Assistant
September 1, 2015 – August 1, 2016
Coimbra Area, Portugal
University of Coimbra
Invited Assistant
February 1, 2014 – June 1, 2014
Coimbra Area, Portugal
University of Coimbra
PhD Student
September 1, 2011 – May 1, 2020
Coimbra Area, Portugal
University of Coimbra
Research Student
October 1, 2010 – May 1, 2020
Coimbra Area, Portugal
Azure AI Fundamentals
Microsoft
June 24, 2026 – Present
Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Certicate of Proficiency in English
Cambridge English
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic and research background, which might align well with an R&D-focused culture. Their experience in various AI/ML roles suggests adaptability. However, the target role is 'Backend Engineer', which is a significant shift from their primary experience in Machine Learning and Data Science. This misalignment could impact cultural fit if the role requires deep backend system expertise rather than ML engineering.
Soft Skills & Operational Fit
The candidate's resume indicates experience in lead roles and participation in meetup organization, suggesting potential for leadership and collaboration. However, without specific psychometric test results or interview data, a definitive assessment of soft skills and operational fit is not possible.