What are the responsibilities and job description for the Video Test Automation QA position at GTSS Inc?
Role : Video Test Automation QA Location : Denver, CO Duration : 12 months Experience Required : 10 years in Software Development, AI / ML, and TV / STB Technologies Job Overview : We are seeking an experienced Technical Automation Architect / Lead Software Developer with strong expertise in OpenCV, AI / ML, video analysis systems, and TV / STB technologies. The role involves leading the development of advanced video quality analysis solutions, integrating automation workflows, and optimizing video processing systems. Key Responsibilities : Architect and develop a video and audio analysis system using Computer Vision (OpenCV),AI / ML and Python. Implement machine learning or Computer Vision algorithms for automated video quality testing and analysis. Design and deploy scalable distributed microservices architecture for video analytics. Collaborate with teams to integrate video testing systems into automation workflows. Leverage knowledge of TV and STB technologies to enhance system compatibility and performance. Mentor team and oversee code reviews to ensure software quality and stability. Stay updated with emerging technologies in AI / ML, video quality analytics, and TV Technologies. Understanding of testing frameworks and web services is required. Key Skills : Programming : Python, Flask, OpenCV Technologies : AI / ML, TV / STB Systems, Kubernetes Architectures : Distributed Systems, Docker,Microservices Tools : CI / CD, Automation Frameworks, Jenkins, AWS Qualifications : Strong understanding of AI / ML and computer Vision technologies and their applications in video analytics. Hands-on experience with TV / STB technologies and automation testing. Proven track record in delivering scalable and reliable software solutions.
