Job
Description
Responsibilities: Testing AI Computer Vision Applications: Conduct comprehensive testing of our AI computer vision applications to ensure accuracy, efficiency, and reliability in detecting, analyzing, and interpreting visual data. Dashboard Functionality Testing: Evaluate the functionality of our dashboard interface, ensuring smooth navigation, responsiveness, and effective data visualization. UI Testing: Assess the user interface (UI) of our applications and dashboard for usability, accessibility, and aesthetic appeal. Identify and report any inconsistencies, bugs, or areas for improvement. Quality Assurance: Implement rigorous quality assurance processes to maintain the overall quality and performance of our products. Develop test plans, test cases, and testing strategies to ensure comprehensive coverage of all functionalities. Issue Identification and Reporting: Identify, document, and prioritize issues, bugs, and enhancements using issue tracking systems. Communicate effectively with the development team to ensure timely resolution of identified issues. Collaboration: Collaborate closely with cross-functional teams including developers, designers, and product managers to align on quality standards, project requirements, and timelines. Provide feedback and suggestions for product enhancements based on testing results and user feedback. Documentation: Maintain detailed documentation of test cases, test results, and quality assurance processes. Develop and update documentation as needed to ensure clarity and consistency. Requirements: Bachelors degree in Computer Science, Engineering, or related field. Proven experience in software testing, particularly in testing AI computer vision applications and dashboard interfaces. Strong understanding of software testing methodologies, tools, and best practices. Familiarity with issue tracking systems such as Jira, Bugzilla, or similar tools. Excellent analytical and problem-solving skills, with a keen eye for detail. Effective communication and collaboration skills, with the ability to work closely with cross-functional teams. Proven ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines. Experience with automation testing tools and techniques is a plus. Knowledge of machine learning concepts and computer vision algorithms is desirable.
