Responsibilities
- Create and execute scripts for functional UI/UX, AI model automation and testing on tablet applications
- Design and execute test plans for AI models and systems, developing automated testing frameworks and tools tailored for AI validation on languages
- Internationalization testing and language-dependent functional validation
- Test tablet-specific interaction patterns and expanded UI features
- Review designs in collaboration with product/design teams to ensure layout accuracy
- Execute regression, sanity, debugging analysis for validation
- Work with engineering teams to reproduce complex defects
- Log defects clearly and track issues through resolution
- Create detailed test plans, cases, and reports
- Data analysis for testing process improvements
- Mentor QA team members on tablet best practices, workflows, and tooling
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- 5+ years of SW QA experience
- Programming languages: Python, Kotlin, Java, C++ (optional)
- Software Development: Android Studio, Jenkins (optional)
- Strong understanding of AI/ML principles, model lifecycle, and data pipelines
- Deep understanding of responsive/adaptive design principles and large-screen UX requirements
- Strong experience testing across a wide range of devices, resolutions, and form factors
- Ability to analyze complex UI behaviors and identify root-cause issues across frontend and device layers
- Experience defining test strategies, improving QA processes, and partnering with product/engineering leads
- Strong communication skills with ability to provide guidance and influence cross-functional teams
Nice to Have
- Master’s preferred
- MLOps Tools (Optional): NeptuneAI, MLFLow, PyTorch, Diffusers, Transformers
Additional Information
- Contract: 12 months (with potential extension based on performance)
