Video Analytics Engineer

Job Title: Video Analytics Engineer Location: Hyderabad, India (Work From Office) Experience: 15 Years About the RoleWe are looking for a skilled Video Analytics Engineer to design, develop, and deploy AI-powered video analytics solutions for safety, security, retail, and operational use cases. The ideal candidate should have hands-on experience in computer vision, real-time video processing, object detection/tracking, and GPU-based inference. You will work closely with business, data, and engineering teams to deliver secure, scalable, and high-performance video analytics applications. Key ResponsibilitiesDesign and develop real-time video analytics solutions using Computer Vision and Deep Learning techniques.Build and optimize object detection, tracking, and video processing pipelines.Develop AI models for surveillance, retail analytics, safety monitoring, and operational intelligence.Optimize inference performance using GPU acceleration and edge computing technologies.Integrate video analytics solutions with streaming platforms and backend services.Process and analyze live video streams from CCTV, IP cameras, and RTSP/RTMP sources.Collaborate with cross-functional teams to design scalable and production-ready AI solutions.Monitor, evaluate, and continuously improve model accuracy and system performance.Ensure security, scalability, and reliability of deployed video analytics applications.Required SkillsStrong experience in Python programming.Hands-on experience with Computer Vision and Video Processing.Experience in Object Detection and Object Tracking algorithms.Knowledge of video streaming technologies (RTSP, RTMP, GStreamer, FFmpeg, etc.).Experience with GPU inference using frameworks such as TensorRT, CUDA, ONNX Runtime, or similar.Experience with OpenCV and deep learning frameworks such as PyTorch or TensorFlow.Familiarity with Docker, REST APIs, and Linux environments.Good understanding of AI model deployment and performance optimization.Preferred SkillsExperience with YOLO, DeepStream, ByteTrack, SORT, DeepSORT, or similar frameworks.Knowledge of edge AI deployment on NVIDIA Jetson or equivalent platforms.Experience with cloud platforms such as AWS, Azure, or GCP.Familiarity with Kubernetes, CI/CD, and microservices architecture.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Electronics, or a related field.15 years of overall experience, including at least 12 years of relevant hands-on experience in Video Analytics, Computer Vision, or related AI technologies.If you are passionate about building intelligent video analytics solutions and working on cutting-edge AI technologies, we'd love to hear from you. Please send your updated profile to:[HIDDEN TEXT] Job Title: Video Analytics Engineer Location: Hyderabad, India (Work From Office) Experience: 15 Years About the RoleWe are looking for a skilled Video Analytics Engineer to design, develop, and deploy AI-powered video analytics solutions for safety, security, retail, and operational use cases. The ideal candidate should have hands-on experience in computer vision, real-time video processing, object detection/tracking, and GPU-based inference. You will work closely with business, data, and engineering teams to deliver secure, scalable, and high-performance video analytics applications. Key ResponsibilitiesDesign and develop real-time video analytics solutions using Computer Vision and Deep Learning techniques.Build and optimize object detection, tracking, and video processing pipelines.Develop AI models for surveillance, retail analytics, safety monitoring, and operational intelligence.Optimize inference performance using GPU acceleration and edge computing technologies.Integrate video analytics solutions with streaming platforms and backend services.Process and analyze live video streams from CCTV, IP cameras, and RTSP/RTMP sources.Collaborate with cross-functional teams to design scalable and production-ready AI solutions.Monitor, evaluate, and continuously improve model accuracy and system performance.Ensure security, scalability, and reliability of deployed video analytics applications.Required SkillsStrong experience in Python programming.Hands-on experience with Computer Vision and Video Processing.Experience in Object Detection and Object Tracking algorithms.Knowledge of video streaming technologies (RTSP, RTMP, GStreamer, FFmpeg, etc.).Experience with GPU inference using frameworks such as TensorRT, CUDA, ONNX Runtime, or similar.Experience with OpenCV and deep learning frameworks such as PyTorch or TensorFlow.Familiarity with Docker, REST APIs, and Linux environments.Good understanding of AI model deployment and performance optimization.Preferred SkillsExperience with YOLO, DeepStream, ByteTrack, SORT, DeepSORT, or similar frameworks.Knowledge of edge AI deployment on NVIDIA Jetson or equivalent platforms.Experience with cloud platforms such as AWS, Azure, or GCP.Familiar