Position Details
About this role
This role involves leading testing and validation efforts for enterprise AI and machine learning systems, focusing on safety, bias, robustness, and compliance. The engineer will architect evaluation frameworks and collaborate across teams to ensure AI system quality.
Key Responsibilities
- Lead AI testing efforts
- Architect evaluation frameworks
- Assess model behavior
- Ensure safety and bias mitigation
- Collaborate with data science and engineering teams
Technical Overview
The technical environment includes AI and machine learning models, automated testing frameworks, and evaluation datasets. The role requires expertise in Python and AI validation tools.
Ideal Candidate
The ideal candidate is a senior AI Testing Engineer with extensive experience in validating and evaluating enterprise AI and machine learning systems. They possess strong leadership skills, expertise in automated testing frameworks, and a focus on safety, bias, and robustness in AI models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in AI validation, No leadership experience in AI testing, No familiarity with AI safety or bias, Unwillingness to work remotely
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