ML Team Lead
6y 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
Ricardo García García is a technically well-rounded ML leader with 8 years of experience and a clear upward trajectory from hands-on data scientist to ML/AI Manager. their combination of deep NLP and generative AI expertise, MLOps knowledge, and proven team leadership makes him a credible candidate for the ML Team Lead position. The primary gaps — explicit LLM/RAG experience and lack of public code artifacts — are meaningful but not disqualifying, particularly given their current role at Multiverse Computing, a quantum-AI company where these skills may be in active use. This candidate is based in Madrid, EU-native, and well-positioned for a remote-first European recruiting platform. A structured technical interview focused on LLM systems, MLOps tooling, and leadership philosophy should determine final suitability.
Top Strengths
- ✓Clear leadership trajectory with hands-on technical depth — rare combination in ML candidates
- ✓Breadth across NLP, generative AI, computer vision, and MLOps aligns well with the platform's AI-first product needs
- ✓European-based (Madrid) with professional English — well-suited for a remote-first EU-focused recruiting platform
- ✓Experience leading multidisciplinary ML/data teams in production environments validates management readiness
- ✓Strong academic background (Double Bachelor's CS + Math, specialized Master's) underpins rigorous technical thinking
Key Concerns
- !No explicit LLM or RAG experience documented — a preferred qualification that is increasingly core to the product roadmap
- !Absence of public code, GitHub, or open-source work limits objective technical validation for a lead-level hire
Culture Fit
Growth Potential
High
Salary Estimate
$110k–$145k (Madrid-based; European market rates may be below US benchmark)
Assessment Reasoning
Ricardo meets the core requirements for the ML Team Lead role: 8 years of ML/data science experience, 4+ years in leadership roles (Team Leader at Pragsis, AI Scientist Lead at Repsol, ML/AI Manager at Multiverse Computing), and strong technical alignment across NLP, generative AI, MLOps, and Python. they clears the 80% required skills threshold when accounting for implied competencies (deep learning frameworks, cloud, API development). The FIT decision is supported by their clear leadership maturity and technical breadth, offset by moderate confidence (72) due to the absence of explicit LLM/RAG documentation and no public code to validate engineering quality. This candidate should advance to a technical screen to confirm PyTorch/TensorFlow proficiency and LLM systems experience before a final hiring decision.
Interview Focus Areas
Code Review
No GitHub or code portfolio was provided, making a direct code quality assessment impossible. Based on resume descriptions of library and API development and MLOps pipeline design, Ricardo likely operates at a Senior engineering level, but this requires validation through a technical interview or take-home assessment. The absence of any public code is a moderate concern for a lead-level role.
- +Resume references adherence to best practices in code development, deployment, and operation
- +Mentioned development of advanced libraries and APIs for CV, NLP, and Generative AI — suggests production-grade engineering capability
- +Python stack expertise explicitly called out as a core competency
- -No GitHub profile provided — no direct evidence of coding style, open-source contributions, or public technical work
- -No personal website or portfolio to assess project depth or code quality
- -Cannot objectively assess code quality, architecture decisions, or testing practices without artifacts
Experience Overview
8y total · 6y relevantThis candidate brings approximately 8 years of ML/data science experience with clear leadership progression and strong technical depth in NLP, generative AI, and MLOps. their current role as ML/AI Manager and prior team leadership at Pragsis satisfies the 2+ year leadership requirement. Key gaps include explicit LLM/RAG experience and no mention of PyTorch/TensorFlow by name, which warrant clarification during screening.
Matching Skills
Skills to Verify