Description
Sybrant Technologies has been in the forefront of transforming its customers into full digital businesses. Though we are small, we grow at a rapid pace due to our capabilities in the contemporary technologies. Sybrant can deep dive in areas such as Mobility, IoT and Analytics in addition to traditional technologies.We can rapidly implement these solutions because of the Products, Frameworks and Partnerships that we have. In addition, our technically sound people and proven processes help in accelerating our customers’ adoption curves. Advantage Sybrant has always been in its nimbleness and delivering high quality yet cost effective solutions. That’s why we are the “Digital Transformation Power” behind our customers. We are a PreludeSys Group Company.
Role:
Design and implement AI-augmented test automation frameworks to improve testing efficiency, coverage, and accuracy
Requirements
- Develop AI-enhanced test automation scripts using Python/Java with tools like Selenium, Playwright, or Cypress.
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Integrate AI/ML models for:
⇨Self-healing tests (auto-correcting locators).
⇨Flaky test detection (predicting unstable tests).
⇨Test case generation (using LLMs like GPT-4 or Gemini). - Use visual testing tools (Applitools, Percy) with AI for UI validation.
- Optimize test suites with predictive analytics (prioritizing high-risk areas).
- Work with CI/CD pipelines (Jenkins, GitHub Actions) for AI-driven test execution.
Required Skills:
- Strong test automation (Selenium, Pytest, Robot Framework).
- Python/Java for AI testing integrations.
- Familiarity with AI testing tools (Testim, Mabl, Applitools).f LLM-based chatbots (OpenAI, Claude, Gemini, or Llama 3)
- Basic ML concepts (model training, data labeling for testing).
Good to Have (Added Advantage):
- Experience with LLM-based test generation (e.g., ChatGPT for test scripts).
- Knowledge of anomaly detection in test results.
