Computer Vision Engineer

As an experienced professional with 2-6 years in computer vision and AI model development, your role will involve the following responsibilities: - Develop computer vision algorithms for detection, segmentation, and navigation. - Proficiency in Python, TensorFlow, PyTorch, and OpenCV is essential. - Experience with edge deployment and optimization techniques. - Knowledge of depth cameras and sensor fusion will be advantageous. - Strong understanding of deep learning architectures is required. In this role, you will: - Create and optimize vision models for robotic applications. - Collaborate with robotics and embedded teams for integration. - Annotate datasets, train models, and validate them in real-world conditions. - Maintain documentation and stay updated on emerging vision technologies. - Support deployments and troubleshoot vision system issues. Qualifications required for this position include a BE/ME/PhD in Computer Science, Electrical Engineering, Robotics, AI, or related fields. As an experienced professional with 2-6 years in computer vision and AI model development, your role will involve the following responsibilities: - Develop computer vision algorithms for detection, segmentation, and navigation. - Proficiency in Python, TensorFlow, PyTorch, and OpenCV is essential. - Experience with edge deployment and optimization techniques. - Knowledge of depth cameras and sensor fusion will be advantageous. - Strong understanding of deep learning architectures is required. In this role, you will: - Create and optimize vision models for robotic applications. - Collaborate with robotics and embedded teams for integration. - Annotate datasets, train models, and validate them in real-world conditions. - Maintain documentation and stay updated on emerging vision technologies. - Support deployments and troubleshoot vision system issues. Qualifications required for this position include a BE/ME/PhD in Computer Science, Electrical Engineering, Robotics, AI, or related fields.