D
78

Director of AI Engineering

6y relevant experience

Qualified
For hiring agencies & HR teams

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 leader with impressive hands-on experience building production systems that have operated at massive scale for government and enterprise clients. their background as Head of AI at iProov shows they can build teams and deliver critical infrastructure, while their technical founder experience at Carbon13 demonstrates entrepreneurial drive. However, they falls slightly short on total years of experience and lacks explicit MLOps/cloud platform expertise that's crucial for the role. The absence of code samples and limited social presence are concerning gaps for a Director-level position.

Top Strengths

  • Exceptional AI/ML technical depth with billion-scale impact
  • Proven team leadership and hiring experience
  • Entrepreneurial mindset as technical founder
  • Experience with high-stakes, mission-critical systems
  • Hands-on approach with ability to code and deploy quickly

Key Concerns

  • !Missing cloud platform and MLOps experience
  • !No code sample provided for assessment
  • !Limited B2B SaaS background
  • !Recent career break requires explanation
  • !Lack of formal engineering management methodologies

Culture Fit

75%

Growth Potential

High

Salary Estimate

$200k-280k

Assessment Reasoning

Despite being slightly below the 10+ years requirement, Jim demonstrates exceptional AI/ML leadership with proven production impact at billion-user scale. their team-building experience (7 direct reports), technical depth in modern ML frameworks, and entrepreneurial background align well with the startup environment. Key concerns include missing MLOps/cloud expertise and no code sample, but their track record suggests strong learning ability and technical competence. The role's emphasis on bridging research-to-production matches their iProov experience perfectly.

Interview Focus Areas

MLOps and cloud platform experienceEngineering management methodologiesB2B SaaS product strategyCode architecture and review skillsCareer break explanation

Experience Overview

8y total · 6y relevant

Strong AI/ML leader with impressive hands-on experience building production systems at scale, including managing 7 direct reports and delivering critical infrastructure used by governments. While slightly junior in total years, demonstrates exceptional technical depth and leadership capabilities.

Matching Skills

AI/ML LeadershipTeam ManagementPythonPyTorchTensorFlowDockerModel DeploymentSystem ArchitectureTechnical HiringCross-functional Leadership

Skills to Verify

AWS/GCP/AzureKubernetesCI/CDB2B SaaSAgile/ScrumMLOpsData Pipelines
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