Senior AI/ML Engineer - R01570948 at Brillio (Bengaluru, India)
Brillio· Bengaluru, India·
Job description
Senior AI/ML Engineer
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)
Why work at Brillio
- Culture: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
- Work environment: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
- Learning & growth: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
- Remote / hybrid / office: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
- Benefits: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
- Interview process: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.