AI QUALITY ASSURANCE ENGINEER
Summary
AI Quality Assurance Engineer at an IT services company in New Delhi-NCR: designs and runs test automation for AI/ML systems, performs functional, regression and API testing, validates data flows, and does root-cause analysis on complex defects. Requires 4-6 years of QA experience including testing AI/ML applications; salary is Rs 15 LPA.
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.
Requirements
- 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.
