Senior/Lead AI/ML Quality Assurance Engineer (IRC276342)

Job Description

Must have skills

• Bachelor's in software engineering, Electrical/Electronics Engineering, or related field
• At least 6-8 years of progressive experience in software automated testing
• Strong experience in developing and executing comprehensive testing strategies for ML models
• Strong programming skills in Python, knowledge in C++ programming is big plus
• Experience with scripting languages such as Shell, Batch, Bash and Linux commands
• Knowledge of white/gray/black box testing methodologies with hands-on experience
• Understanding of test methodologies (such as performance, load, stress, functional, unit, etc.)
• Strong analytical skills, capable of uncovering anomalies in robust software

Optional skills

• Experience with Windows and Linux operating systems
• Experience with JIRA or any similar bug tracking tools
• Experience with JAMA or any similar test management tools

Job Responsibilities

We are looking for a candidate who can work independently and function well within a team, is self-motivated, diligent, takes testing and automation as their true passion, and wants to bring software to an outstanding level of reliability.

Responsibilities will include

• Validating ML models' outputs and system performance
• Ensuring compliance with quality control requirements.
• Creates and maintains testing frameworks while working closely with all teams
• Ensure quality standards are met throughout the development lifecycle.
• Design and develop a test automation system and test fixtures
• Improve test automation scripts and coverage
• Create test protocols and test reports
• Implement and execute functional tests, unit tests, stress tests, and performance tests
• Collect, analyze, track, and report test results. Document and file bugs
• Participate in design discussions and code reviews
• Technical leading and mentoring test team members on test automation

Department/Project Description

Join us to build the connected vision intelligence layer that unifies surgical imaging, robotics, and data services across robotics and operating room portfolio spanning endoluminal, orthopedics, and the next-gen general-surgery platform, while powering the digital ecosystem in hospitals. You’ll help transform raw surgical video and device signals into real-time insights, collaborative telepresence, and longitudinal case intelligence used before, during, and after procedures. First product releases include surgical video editing/publishing and telepresence, rolling out to select sites in the near future. Your work will directly accelerate that journey and connect robotic vision to the OR and hospital digital platform