Iason Andriopoulos
ML EngineerSenior Software Engineer @ ZenML
ZenML
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 Software Engineer @ ZenML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Athens University of Economics and Business
Master's degree, Computer Science
January 1, 2015 – January 1, 2017
Athens University of Economics and Business
Bachelor's degree, Information Technology
January 1, 2008 – January 1, 2014
ZenML
Senior Software Engineer
October 1, 2025 – Present
Aisera
Senior Architect
December 1, 2024 – October 1, 2025
Aisera
Lead MLops Engineer
November 1, 2023 – October 1, 2025
Orfium
Staff MLOps Engineer
April 1, 2022 – November 1, 2023
Orfium
Senior Software Engineer, Data Services
May 1, 2021 – April 1, 2022
DEUS EX MACHINA
Machine Learning Software Engineer
August 1, 2020 – May 1, 2021
Workable
Senior Machine Learning Engineer
September 1, 2018 – August 1, 2020
Workable
Machine Learning Engineer
March 1, 2017 – September 1, 2018
Workable
Data Science Consultant
April 1, 2016 – October 1, 2016
Athens, Greece
CERN
Software Developer
July 1, 2013 – August 1, 2014
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background across several companies, including startups and larger organizations, indicating adaptability. Their progression from Data Scientist to Senior Architect and Lead MLOps Engineer shows a commitment to growth and taking on increasing responsibilities. The experience in building teams and presenting at conferences suggests a proactive and engaged professional. However, the target role is ML Engineer, while recent roles lean heavily into MLOps and Architecture, which might require a slight adjustment in focus.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills, evidenced by building and leading a Data Science team and mentoring junior engineers. Their experience in driving architectural decisions and improving system performance suggests a proactive and problem-solving operational fit. The descriptions indicate a collaborative approach to enhancing retrieval quality and resolving systemic issues.