Summary of Role
V-Key is one of the worlds leading deep-tech companies in mobile cybersecurity. Our patented technology V-OS has been deployed by top banks, mobile payment providers, and governments to secure software solutions and protect more than 500 million application installation globally.
We are rapidly expanding into new markets and new customer segments. Apart from securing digital transactions for everyone, we are also enabling new generation technology by providing the cybersecurity infrastructure for banking, government and smart homes, among many others.
At V-Key, we are building towards a future where technology users can enjoy unprecedented security and convenience.
We are looking for a QA Intern to join our AI development team with a focus on mobile application testing. You will help validate the quality of AI-powered mobile features, ensuring a seamless and reliable user experience. This role blends AI model validation, data analysis, and mobile QA, offering you hands-on experience in testing intelligent systems used in real-world applications.
Duties and Responsibilities
- Test and validate AI-powered features integrated into Android/iOS mobile apps (e.g., chatbots, recommendation systems, camera-based AI tools).
- Design and execute test cases across multiple devices and OS versions.
- Evaluate AI model outputs in mobile environments for accuracy, bias, and latency.
- Perform manual and exploratory testing of mobile app functionalities.
- Identify and document bugs, performance issues, and UX inconsistencies.
- Collaborate with developers, designers, and AI engineers to define and refine QA processes.
- Use tools like Android Studio, Xcode, or emulators for app testing.
- Assist in automating test flows where applicable.
Requirements
Must have:
- 3rd or 4th-year student, or recent graduate in Computer Science, Software Engineering, Artificial Intelligence or a related field.
- Basic understanding of software testing principles and QA methodologies.
- Familiarity with mobile platforms (Android and/or iOS).
- Basic scripting or coding knowledge (preferably Python).
- Interest in AI/ML concepts and applications.
- Strong attention to detail and analytical thinking.
- Good written and verbal communication skills.
Nice To Have
- Experience with mobile testing tools (e.g., Appium, Espresso, XCUITest).
- Familiarity with REST APIs, Postman, or Firebase tools.
- Exposure to AI platforms like TensorFlow Lite, Core ML, or on-device AI SDKs.
- Understanding of CI/CD pipelines for mobile testing.
- Data processing skills using Python (Pandas, NumPy, Matplotlib, etc.).
- Experience analyzing AI model outputs, logs, or performance metrics (Accuracy, Precision, Recall, F1-Score, etc.).
- Ability to create simple dashboards or reports to track bugs, model accuracy, or app usage.
- Familiarity with tools like Excel, SQL, or Jupyter Notebooks for exploratory data work.
What Youll Gain
- Hands-on experience in both AI validation and mobile app testing.
- Opportunity to work on real-world AI-powered mobile applications.
- Learn from experienced QA engineers, AI developers, and product teams.
- Boost your skills in mobile testing, AI output validation, and data-driven QA processes.
