AI QA Engineer

Introduction

The AI QA Engineer will play a crucial role in ensuring the quality and reliability of AI systems and applications within our organization. This individual will be responsible for designing and implementing test automation strategies to validate AI algorithms, models, and systems.

Responsibilities

• Develop and execute test plans, test cases, and test scripts for AI algorithms and models
• Implement automated testing frameworks for AI applications
• Collaborate with data scientists and developers to understand AI algorithms and models
• Identify and report bugs, issues, and defects in AI systems
• Conduct performance testing and scalability testing for AI applications
• Ensure compliance with quality standards and regulatory requirements
• Provide technical expertise and guidance on QA best practices for AI projects
• Continuously improve testing processes and methodologies for AI systems

Requirements

Required Skills

• Experience in Test Automation
• Knowledge of AI/GenAI & LLM Testing
• Experience in AI QA Strategy & Quality Governance
• Proficiency in Python & SQL
• Experience in API Testing
• Familiarity with Cloud Applications
• Minimum of 10 years in QA/Quality Engineering

Preferred Skills

• Experience with CI/CD pipelines for AI applications
• Knowledge of Machine Learning and Deep Learning concepts
• Certifications in QA or AI-related fields
• Experience in working with large-scale AI projects