▷ Immediate Start! Computer Vision Engineer

Experience : 2 To 6 Years

• Industry experience in applied research in the field of deep learning and computer vision
• Exposure to state of the art technologies in Deep learning (e.g. Transformers, GANs, LSTM, BEV)
• Experience in Deep Learning in one or more of the following : object detection, segmentation, tracking, pose estimation, action recognition, differentiable rendering
• Expert in Python programming and good understanding of deep learning frameworks and workflow
• Experience in working with large data sets and developing infrastructure pipelines
• Strong fundamentals in 3D geometry
• Strong knowledge of Camera parameters and color models
• High level of innovation and motivation
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
• In-depth knowledge of mathematics, statistics, and algorithms
• Good communication and collaboration skills
• Specialization in Machine Learning preferred.
• Applied Deep Learning work experience preferred.
• Algorithm development experience in robotics, ultrasonics, RADAR, LIDAR, camera systems, sensor fusion or computer vision
• Experience with PC-based simulation tools
• Knowledge of UML design tools
• Academic publications in relevant field
• Experience developing software for embedded platforms.
• Experience with version control software
• Automotive industry experience.
• Experience with imaging or optics systems.
• Experience developing algorithms for autonomous and / or real-time systems.
• Superb analytical and problem-solving abilities