Computer Vision Engineer solution architect

Technical ExpertiseAdvanced proficiency in PythonExpertise in Deep Learning Frameworks: PyTorch and TensorFlowExperience with Computer Vision Models:YOLO (Object Detection)UNet, Mask R-CNN (Segmentation)Deep SORT (Object Tracking)Real-Time & Deployment SkillsReal-time video analytics and inference optimizationModel pipeline development using:DockerGitMLflow or similar toolsImage processing proficiency: OpenCV, NumPyDeployment experience on Linux-based GPU systems and edge devices (Jetson Nano, Google Coral, etc.)Professional BackgroundMinimum 4+ years of experience in AI/ML, with a strong focus on Computer Vision and System-Level DesignEducational qualification: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or a related fieldStrong project portfolio or experience in production-level deployments