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Senior Data & Machine Learning 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
Data Scientist, Machine Learning expert and Software Developer with a strong academic background and experience in the private sector.
Università degli Studi di Parma
PhD, Theoretical Physics
January 1, 2001 – January 1, 2004
Università degli Studi di Milano
Laurea, Physics
January 1, 1994 – January 1, 2000
Dicto AI
Head of Data & AI
May 1, 2025 – Present
Alba
Serenis
Senior Data Engineer
October 1, 2023 – April 1, 2025
Milan, Lombardy, Italy · Remote
Pivigo
Senior Data Engineer
May 1, 2023 – August 1, 2023
Sheffield, England, United Kingdom · Remote
Luxoft Italy
Senior Data Scientist
February 1, 2023 – April 1, 2023
Turin, Piedmont, Italy · Remote
Pivigo
Data Scientist & Scrum Master
September 1, 2021 – February 1, 2023
Sheffield, England, United Kingdom · Remote
Università degli Studi di Torino
Postdoctoral Researcher (Assegnista)
March 1, 2019 – August 1, 2021
Turin Area, Italy
Self-Employed
Freelance Data Scientist
February 1, 2019 – February 1, 2023
Turin Area, Italy
Electron - Blockchain Systems for the Energy Sector
Senior Developer - Data Science & Machine Learning
September 1, 2017 – January 1, 2019
London, United Kingdom · Remote
Pivigo
S2DS Data Science Fellow
March 1, 2017 – April 1, 2017
Università degli Studi di Torino
Marie Slodowska-Curie Fellow
September 1, 2015 – August 1, 2017
Niels Bohr Institute, University of Copenhagen
Assistant Professor
June 1, 2011 – August 1, 2015
The University of Freiburg
Hochschulassistent
October 1, 2007 – May 1, 2011
University of Edinburgh
Postdoc Research Associate
November 1, 2005 – September 1, 2007
DESY
Postdoctoral Research Associate
December 1, 2003 – October 1, 2005
S2DS Virtual March 2017
Pivigo Limited
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, moving from academia to various industry roles, including freelance and full-time positions across different companies. This demonstrates adaptability and a broad exposure to different work environments. The progression from research to data science and then to data engineering and leadership roles aligns with a growth mindset. The target role of ML Engineer is a strong fit given the blend of ML, data engineering, and MLOps-related skills.
Soft Skills & Operational Fit
The candidate's experience as a Scrum Master and involvement in Agile Methodologies suggests good operational fit and an understanding of collaborative development processes. The academic background and progression into industry roles indicate strong analytical and problem-solving skills. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.