QA LEAD WITH AI/ML EXPERIENCE @ LAIBA TECHNOLOGY
Laiba Technology is currently seeking a highly skilled and experienced QA Lead with specialized expertise in AI/ML testing for a prominent E-commerce client. This role is pivotal in ensuring the quality and reliability of advanced machine learning models and large language model (LLM) outputs within a dynamic retail environment. The successful candidate will be responsible for defining comprehensive test strategies, overseeing test planning, and leading the quality assurance efforts across multidisciplinary teams to maintain high standards of performance and data integrity.
The ideal candidate must possess deep knowledge of AI output accuracy, prompt-based systems, and KPI testing methodologies. This onsite position in Bolingbrook, Illinois, requires excellent stakeholder coordination skills and the ability to work collaboratively with both product and engineering departments. You will be tasked with validating complex data sets and ensuring that all AI/ML-driven features align with business objectives and consumer needs, providing a seamless experience for our e-commerce platform users.
The ideal candidate must possess deep knowledge of AI output accuracy, prompt-based systems, and KPI testing methodologies. This onsite position in Bolingbrook, Illinois, requires excellent stakeholder coordination skills and the ability to work collaboratively with both product and engineering departments. You will be tasked with validating complex data sets and ensuring that all AI/ML-driven features align with business objectives and consumer needs, providing a seamless experience for our e-commerce platform users.
Key Requirements
10+ years of professional QA/Testing experience in a software development environment.
Strong proven experience serving as a QA Lead or Test Lead on large-scale projects.
Extensive practical experience in AI/ML or LLM (Large Language Model) testing.
Demonstrated ability to create and execute comprehensive Test Strategies and Test Plans.
Profound experience in Data Validation and KPI testing specifically for algorithmic outputs.
Technical knowledge of AI output accuracy assessment and prompt-based system behaviors.
Mandatory experience working within the E-commerce or Retail industry domains.
Strong stakeholder coordination skills with the ability to bridge technical and business gaps.
Direct experience collaborating with integrated Product and Engineering teams.
Ability to work onsite at the Bolingbrook, IL facility on a full-time basis.