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Principal Machine Learning Engineer at Workable
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine Learning Engineer, working on NLP and Computer Vision. Works on developing and integrating state-of-the-art Deep Learning algorithms for Computer Vision and Natural Language Processing applications.
National Technical University of Athens
PhD, Electrical and Computer Engineering (Computer Vision and Machine Learning)
January 1, 2008 – January 1, 2016
National Technical University of Athens
Diploma, Electrical and Computer Engineering
January 1, 2002 – January 1, 2008
Workable
Principal Machine Learning Engineer
January 1, 2019 – Present
Athens, Greece
AISERA
Senior Data Scientist
October 1, 2017 – January 1, 2019
Palo Alto, CA, USA
CRAFT
Computer Vision Engineer
January 1, 2017 – June 1, 2017
National Technical University of Athens
Researcher
March 1, 2016 – March 1, 2017
Entefy Inc.
Machine Learning & AI Engineer
September 1, 2015 – September 1, 2017
Palo Alto, USA
National Technical University of Athens
Research Assistant
November 1, 2008 – March 1, 2016
MECANEX: Multimedia Content Annotations for Rapid Exploitation in Multi-Screen Environments
January 1, 2015 – July 1, 2016
The objective of MECANEX project is to devise innovative tools for automatic annotation and editorial support of multimedia content, extraction of personalized information and adaptation of enriched multimedia content in multi-screen environments. Personal involvement in: - Generic object detection/recognition in videos using Deep Learning - Face detection/recognition - Identification of landmarks
X-Media: Large scale knowledge sharing and reuse across media
January 1, 2008 – January 1, 2010
- Detection of single- and multi- part objects. - Image retrieval using local and dense features.
Cultural Fit Analysis
The candidate has a strong background in research and development within academic and industry settings, working on diverse projects related to computer vision, NLP, and machine learning. The transition from research to industry roles (e.g., Principal ML Engineer) demonstrates adaptability. However, the target role is 'Data Analyst', which might be a slight mismatch given the candidate's extensive experience in more advanced ML/AI engineering and research roles. While a Data Analyst role can involve advanced analytics, the candidate's profile leans heavily towards ML/AI development rather than traditional data analysis, which could indicate a potential overqualification or a desire for a different type of role. The project diversity is strong within the ML/AI domain.
Soft Skills & Operational Fit
The candidate's experience as a Principal Machine Learning Engineer and Senior Data Scientist suggests strong problem-solving, leadership, and project delivery capabilities. The descriptions indicate an ability to work on complex, state-of-the-art algorithms and deliver integrated applications, implying good operational fit for roles requiring independent contribution and technical leadership. However, specific soft skills like teamwork or communication are not explicitly detailed in the provided data.