About the Role
The role involves designing, implementing, and maintaining test frameworks to validate AI-powered functionalities across platforms, ensuring high-quality user experiences through continuous integration and testing practices.
Responsibilities
- Develop and execute test plans for AI-integrated systems
- Create automated test scripts to validate software behavior
- Collaborate with development teams to identify test requirements
- Monitor test results and report defects accurately
- Improve test coverage for machine learning components
- Integrate testing into CI/CD pipelines
- Evaluate system performance under varied conditions
- Maintain and update existing test frameworks
- Analyze root causes of test failures
- Ensure scalability of test automation solutions
- Work with product teams to understand feature specifications
- Validate accuracy of AI model outputs
- Design stress and load tests for AI services
- Document testing procedures and results
- Support release validation processes
- Participate in code and test design reviews
- Implement security testing practices
- Track testing metrics and generate reports
- Optimize test execution speed and efficiency
- Stay current with AI testing methodologies
- Contribute to quality assurance standards
- Troubleshoot cross-platform compatibility issues
- Assess risks in new feature implementations
- Promote best practices in test engineering
- Use data to drive quality improvements
Nice to Have
- Master’s degree in Computer Science or related field
- Experience testing AI/ML models in production
- Knowledge of deep learning frameworks
- Familiarity with data pipelines
- Experience with test orchestration tools
- Background in streaming technology
- Contributions to open-source testing projects
- Experience with distributed systems testing
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Collaborative engineering team focused on quality and innovation
Why This Role Matters
AI features are becoming central to user experience, and thorough testing ensures they behave correctly, safely, and consistently across devices.
What You’ll Learn
Gain deep expertise in testing artificial intelligence components, including model behavior validation, data integrity checks, and real-world scenario simulation.
Available for qualified candidates
