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Key Responsibilities ? Develop and optimize algorithms for intelligent image and video cropping, shot detection, video editing and video understanding. ? Implement and refine object detection algorithms to enhance the accuracy and efficiency of image and video processing. ? Conduct image saliency analysis to identify and highlight key features in images and videos. ? Develop and integrate lens cut detection algorithms to automatically segment and analyze video content. ? Utilize libraries such as OpenCV and FFmpeg for advanced image and video processing tasks. ? Collaborate with cross-functional teams to integrate computer vision solutions into our product offerings. ? Ensure seamless deployment and maintenance of image and video processing pipelines using CI/CD practices and tools like Jenkins. ? Work with public cloud platforms (AWS, Alibaba Cloud) to manage and scale image and video processing infrastructure. Qualifications: ? Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s or Ph.D. is a plus. ? Proven experience (3 years) in computer vision, with a strong focus on image and video processing. ? Hands-on experience with image and video processing libraries such as OpenCV and FFmpeg. ? Proficiency in object detection algorithms, including but not limited to YOLO, SSD, and Faster R-CNN. ? Experience with image saliency analysis and lens cut detection algorithms. ? Strong background in cloud computing, especially with AWS and/or Alibaba Cloud. ? Familiarity with CI/CD practices and tools such as Jenkins, Git, and Docker. ? Excellent problem-solving skills and the ability to work independently and collaboratively. ? Strong communication skills, both written and verbal, to effectively communicate technical concepts to non-technical stakeholders. Why Join Us? ? Opportunity to work on cutting-edge AI solutions with real-world impact. ? Collaborative, innovative culture with growth and mentorship opportunities. ? Flexible work environment with a global, cross-functional team.