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Software Engineer, Machine Learning at DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Throughout all my roles I have had a consistent care in the technical and overall quality of my work. Always trying to learn new things. Spaces over tabs. Coffee lover.
Universidad Nacional de Educación a Distancia - U.N.E.D.
Doctor of Philosophy - PhD, Artificial Intelligence
October 1, 2021 – June 1, 2023
Universidad Nacional de Educación a Distancia - U.N.E.D.
Master's degree, Advanced Artificial Intelligence
January 1, 2017 – January 1, 2020
Louisiana State University
Bachelor's degree, Computer Science and Engineering
January 1, 2016 – January 1, 2017
Universidad Carlos III de Madrid
Bachelor's degree, Computer Science and Engineering
January 1, 2013 – January 1, 2017
Google DeepMind
Senior Software Engineer, Machine Learning
April 1, 2026 – Present
Zurich, Suiza
Google DeepMind
Software Engineer, Machine Learning
November 1, 2024 – May 1, 2026
Zurich, Suiza
Software Engineer, Machine Leaning
December 1, 2022 – November 1, 2024
Applied Data Scientist
August 1, 2020 – December 1, 2022
Telefónica
Data Scientist
September 1, 2018 – August 1, 2020
Madrid Area, Spain
EY
Data Scientist at Artificial Intelligence Center
October 1, 2017 – September 1, 2018
Madrid Area, Spain
SGAIM
Software Engineer and Innovation
June 1, 2017 – October 1, 2017
Madrid Area, Spain
Dell EMC
Software Engineer Intern
September 1, 2015 – June 1, 2016
Madrid Area, Spain
Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in AI/ML, which aligns with innovative and research-driven cultures. However, the target role is 'Data Analyst', which is a significant shift from their recent senior ML/AI engineering roles. While they have 'Applied Data Scientist' experience, their recent trajectory is more specialized in advanced ML engineering. This might indicate a potential mismatch in career aspirations or a desire to pivot, which needs further exploration to ensure alignment with a typical Data Analyst role's responsibilities.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with internal and external stakeholders, presenting insights, and providing training, indicating strong communication and teamwork skills. Experience with Docker and API development suggests an understanding of operationalizing ML models.