Director of AI Engineering
4y relevant experience
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
Executive Summary
This candidate is a technically strong AI/ML professional with solid leadership experience at Repsol, demonstrating expertise in computer vision, NLP, and generative AI. This candidate has successfully led teams and delivered end-to-end ML projects from research to production. However, they falls short of the experience requirements with only 6 years total experience versus the required 10+, and lacks specific experience with cloud platforms, MLOps tooling, and B2B SaaS environments. their growth potential is high, but they may be better suited for a senior individual contributor or team lead role rather than Director level at this stage.
Top Strengths
- ✓Strong technical AI/ML background
- ✓Leadership experience in enterprise setting
- ✓End-to-end ML project delivery
- ✓Generative AI and multimedia expertise
- ✓Strategic project management skills
Key Concerns
- !Insufficient total experience (6 vs 10+ years)
- !Limited team scaling experience
- !Missing cloud/MLOps tooling
- !No B2B SaaS background
- !Weak technical presence online
Culture Fit
Growth Potential
High
Salary Estimate
€80,000-120,000
Assessment Reasoning
BORDERLINE decision due to strong technical AI/ML background and leadership potential, but significant experience gaps. This candidate shows solid capabilities in AI/ML with leadership experience, but lacks the required 10+ years total experience, specific cloud/MLOps tooling experience, and evidence of scaling teams to 10+ engineers. their technical depth is impressive, but the role requires more seasoned leadership for a Director position managing 15-25 engineers.
Interview Focus Areas
Experience Overview
6y total · 4y relevantThis candidate has solid AI/ML leadership experience with 4 relevant years, particularly strong in computer vision and NLP. However, they falls short of the 10+ years total experience and 5+ years AI/ML leadership requirements, and lacks specific cloud/MLOps tool experience.
Matching Skills
Skills to Verify
