Internship - Self-Healing Tests Using AI for Automated UI/API Test Adaptation

AI Model Development

• Research and implement machine learning algorithms that can detect changes in the UI or API endpoints (e.g., element IDs, API routes, response formats).

Self-Healing Mechanism

• Design and develop an intelligent self-healing mechanism that automatically adjusts and regenerates test scripts (e.g., selectors, input values) when the system under test changes.

Integration with Test Frameworks

• Integrate the AI-driven self-healing solution with AutomatEasy Framework.

Continuous Improvement

• Continuously train the AI model to improve its accuracy and efficiency by feeding it with new test data and system changes.

Candidate Profile Requirements

• Technical Skills: Knowledge of machine learning algorithms, AI frameworks (e.g., TensorFlow, PyTorch), and experience with automation tools (e.g., Selenium, Cypress, Postman, etc.).
• Programming Languages: Strong proficiency in Python, JavaScript, or Java, as well as familiarity with test automation scripting.
• Understanding of UI & API Testing: Solid understanding of web technologies (HTML, CSS, JS) and RESTful APIs, along with experience in writing automated test scripts.

What We Offer

• Fast-learning environment with opportunities for growth and evolution
• Clear ownership from day one with space to test, fail, and improve fast
• A culture that values sharp thinking, innovation, and autonomy
• Regular collaborations, tie-ups, and activities that expand perspective and skills
• Flexible work setup focused on results