AI Quality Engineer at PhoenixTeam in Arlington, VA

Job Description

About this kind of role

What a AI Quality Engineer usually does. The employer's own details are in the listing.

Typically does: An AI Quality Engineer focuses on ensuring the quality and reliability of artificial intelligence systems. This involves designing and implementing testing strategies specifically for AI models, identifying and documenting defects, and working with developers to improve model performance. They often evaluate model outputs, analyze data, and contribute to the development of automated testing frameworks. The role aims to validate that AI systems meet defined performance metrics and ethical guidelines.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools and statistical methods are generally required.

Good fit for: Individuals with a strong analytical background, a passion for data, and an interest in ensuring the responsible development and deployment of AI technologies often thrive in this role.

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