Help & Supportcareers@gravityer.com
Senior AI/ML 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
Senior ML Engineer specialising in advanced Agentic AI systems and multi-agent orchestration, with 10+ years building complex, production-grade solutions across LLMs, NLP, and multimodal AI. I own the full arc — from early experimentation and POCs through to deployment and MLOps — and I thrive doing it hands-on. I work closely with stakeholders to frame the right problem from the start.
Stanford University
Machine Learning, Data Mining, and Statistical Pattern Recognition
January 1, 2017 – Present
Alma Mater Studiorum – Università di Bologna
MA in Science of Communication, Communication Studies, Semiotics & Linguistics
January 1, 1993 – January 1, 2000
Liceo Scientifico "G. Ferrari", Borgosesia (Italy)
High School, Math, Statistics, Technology and Computer Science
January 1, 1987 – January 1, 1992
Fenergo
AI/ML Engineer
August 1, 2025 – Present
Dublin, County Dublin, Ireland · Hybrid
Independent Consultant
Machine Learning Engineer
September 1, 2024 – July 1, 2025
Dublin, County Dublin, Ireland · Remote
Remote
Lead ML Engineer
January 1, 2020 – January 1, 2024
Dublin, County Dublin, Ireland
Dept Agency
Lead Software Engineer
January 1, 2018 – January 1, 2020
Dublin
Elite Style Solutions
Machine Learning Advisor
January 1, 2016 – January 1, 2018
Bologna, Emilia-Romagna, Italy
SIUrO - Società Italiana di Urologia Oncologica
Principal Software Engineer
January 1, 2011 – January 1, 2016
Bologna, Emilia-Romagna, Italy
Net051
Founder, CTO
January 1, 2006 – January 1, 2011
Bologna, Emilia-Romagna, Italy
Publinord
Chief Information Officer
January 1, 2000 – January 1, 2006
Bologna, Emilia-Romagna, Italy
TensorFlow Developer Certificate
TensorFlow Certificate Program
June 24, 2026 – Present
DeepLearning.AI TensorFlow Developer
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, spanning various industries (finance, medical, cybersecurity, IT consulting) and roles from founder/CTO to lead engineer and advisor. This breadth of experience suggests adaptability and a willingness to engage with different challenges and organizational cultures. Their continuous learning (Stanford ML program, certifications) indicates a growth mindset. The focus on delivering impactful solutions aligns with a results-driven culture. The long tenure in several roles also suggests loyalty and commitment.
Soft Skills & Operational Fit
The candidate's experience as a Lead ML Engineer, Lead Software Engineer, and CTO demonstrates strong leadership, team management, and project delivery skills. Their advisory roles indicate good communication and mentoring abilities. The descriptions highlight a focus on problem-solving and delivering tangible results, suggesting a proactive and results-oriented work attitude. However, without psychometric test results, a deeper assessment of stress handling and team collaboration is not possible.