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Mid-level metro role and common automation title increase competition, but niche computer-vision testing reduces candidate pool.
Highly specialized computer-vision QA and ML testing skills limit cross-industry transferability.
Explicit 4–6 year band, lead experience, and mandatory CV automation skills enforce strict filtering.
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Own the end-to-end QA process for computer vision models and AI-driven applications, including test strategy, test suite design, and automation throughout SDLC.
Lead day-to-day QA activities including manual and automated testing, defect management, and coordination with development teams to ensure timely issue resolution.
Drive post-release quality monitoring, root cause analysis of production defects, and continuous improvement of QA methodologies and tools.
Bachelor’s degree in Computer Science, Engineering, or a closely related technical field.
Minimum 3+ years in Software Quality Assurance or Test Engineering with at least 1 year in a lead or senior QA role.
Experience in Agile/Scrum QA processes, test automation frameworks, and scripting (Python or shell scripting).
Must be an immediate joiner (before 15th Sept); Work location: Mumbai, Bangalore or Trivandrum.
Experienced in defining QA strategies and test plans specifically for computer vision and AI/ML applications, focusing on areas like object detection and image segmentation.
Proven track record leading QA teams in an Agile environment with strong automation and defect management skills.
Comfortable working directly with clients (e.g., Disney) and cross-functional teams to deliver high-quality software with continuous improvement orientation.