AI Quality Assurance Engineer

Summary

Responsibilities

• Develop and implement robust test automation frameworks tailored for AI and machine learning applications.
  
• Conduct thorough functional and regression testing to verify system behavior under various conditions.
  
• Create, maintain, and update detailed test documentation to ensure clear communication and traceability.
  
• Perform deep-dive root cause analysis to identify, isolate, and resolve complex defects within the software.
  
• Design and execute precise test cases that cover diverse scenarios specific to AI/ML workflows.
  
• Validate API integrations and data flows to ensure seamless interaction between system components.
  
• Collaborate with development teams to integrate quality checks early in the development process.
  

• Possess 4 to 6 years of professional experience in software quality assurance, with a focus on technology services.
  
• Demonstrate strong proficiency in test automation tools and scripting languages.
  
• Have a solid background in functional testing, regression testing, and API testing methodologies.
  
• Show expertise in crafting effective test documentation and test case design.
  
• Possess specific knowledge and practical experience in testing AI and Machine Learning applications.
  
• Exhibit strong analytical skills with the ability to perform effective root cause analysis.
  
• Be familiar with the unique challenges and requirements of validating AI-driven systems.