Position Details
About this role
This role involves architecting and implementing an AI-driven search quality framework to validate search improvements, leveraging machine learning, deep learning, and statistical analysis to ensure relevance and ranking effectiveness.
Key Responsibilities
- Design search quality frameworks
- Develop evaluation pipelines
- Deploy ML models for search relevance
- Conduct statistical analysis
- Lead validation initiatives
Technical Overview
Focus on developing evaluation pipelines, deploying ML and deep learning models for search relevance, and creating automated validation tools to measure search quality and impact.
Ideal Candidate
The ideal candidate is a senior AI/ML expert with extensive experience in developing search quality frameworks, utilizing deep learning and statistical analysis to validate search improvements, and leading innovative search validation projects.
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 or ML for search, No experience with evaluation pipelines, Unwillingness to lead projects, No background in search relevance
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