QA Lead - Computer Vision (Ground Truth Validation)

As an experienced Test Lead in Computer Vision projects focusing on Ground Truth validation, your role will involve: - Leading test planning, execution, and reporting for Computer Vision/Machine Learning pipelines. - Validating annotations and Ground Truth data to ensure accuracy and consistency. - Coordinating with data labeling teams and ML engineers to streamline the testing process. - Developing and managing test cases to verify model accuracy, precision, and handling of edge cases. - Ensuring the delivery of high-quality datasets and outputs to meet project requirements. To be successful in this role, you should meet the following qualifications: - Minimum of 4 years of experience in QA/testing, with at least 2 years specifically in Computer Vision or ML projects. - Proven experience in Ground Truth validation workflows within the context of computer vision projects. - Familiarity with image annotation tools such as Labelbox, CVAT, VGG. - Strong attention to detail and analytical thinking, essential for identifying and resolving issues in testing processes. - Excellent communication and leadership skills to effectively collaborate with cross-functional teams and drive testing efforts towards successful outcomes.,