Senior AI/ML Engineer – R01570948

Job requirements

Experience Range: With at least 3 to 8 years of hands-on experience in test automation tools, CI/CD pipelines, and scripting languages relevant to mobile iOS development Key Responsibilities:
• Design and implement automated testing frameworks for mobile applications on iOS and Android platforms using Selenium and Appium
• Develop, maintain, and execute test scripts in Python and Shell scripting to ensure robust test coverage
• Perform automated mobile app testing for both Android and iOS, ensuring high quality and performance standards
• Integrate automated tests into CI/CD pipelines to streamline deployment and improve release reliability
• Collaborate with development teams to identify, isolate, and resolve defects throughout the software development lifecycle
• Optimize test automation processes for scalability and efficiency
• Monitor test results, analyze failures, and provide actionable feedback to engineering teams
• Maintain comprehensive documentation for test automation frameworks, scripts, and procedures
Required Skills:
• Selenium
• Appium
• Python scripting
• Shell scripting
• CI/CD pipeline integration
• Automated mobile app testing for iOS and Android
• iOS Native development
• Flutter
• Version control systems such as Git
Preferred Skills:
• Cloud-based mobile testing platforms
• Mobile app performance testing tools
• AI/ML techniques for test automation
• Test automation for cross-platform mobile apps
• Mobile security testing practices
Desired Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field
• ISTQB Test Automation Engineer or Certified Selenium Professional certification
• Certification in iOS development or mobile testing (e.g., Apple Certified iOS Technician)

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for Senior AI/ML Engineer - R01570948.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.