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Remote role, mid-level experience, and Bangalore location increase candidate competition.
Medical device and AI/ML testing expertise limits cross-industry portability.
Explicit 5-8 years, medical device domain expertise and specific tooling make filtering strict.
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Develop automated test solutions for mobile apps using AI and large language models on real devices and emulators.
Build and integrate APIs and tools across platforms like Jira, Testrail, Slack, GitHub, and Datadog to streamline test automation workflows.
Collaborate with cross-functional teams and mentor junior engineers while driving continuous improvement and tracking ROI from automation initiatives.
Bachelor’s degree typically required, postgraduate degree desirable with relevant experience.
5-8 years of related experience in test automation for software, preferably medical or AI/ML products.
Proficiency in object-oriented programming, preferably Python, and experience with mobile app development in Kotlin and/or Swift.
Experience with mobile testing frameworks such as Appium, Espresso, and XCUI Test, and CI/CD pipelines using Jenkins, GitHub Actions, or CircleCI.
Experienced in test automation for AI/ML-based medical devices, indicating domain and technical match.
Skilled at integrating multiple tools and platforms for test automation and workflow efficiency, emphasizing API and cloud service expertise.
Proven collaborator and mentor accustomed to cross-functional team environments delivering regulatory-compliant software testing.