Computer Vision Engineer Intern

About this role

About the role: - Apply computer vision techniques to build and refine neural network models that process visual data - Work with image and video datasets, implementing preprocessing and augmentation pipelines - Develop and test deep learning solutions using modern frameworks and best practices - Collaborate on model optimization for deployment across different hardware platforms What we're looking for: - You're in your final year of study or recently graduated with a degree in Computer Science, Electrical Engineering, Electronics & Communication Engineering, or a closely related discipline - You have a solid grasp of Computer Vision fundamentals, Linear Algebra, Probability theory, and Deep Learning concepts - You code fluently in Python and have practical experience building models with PyTorch and/or TensorFlow - You've worked hands-on with OpenCV for image and video processing tasks - You understand transfer learning, model evaluation techniques, and how to fine-tune deep learning models for specific problems - You bring strong analytical thinking, attention to detail, and the discipline to write clean, modular, maintainable code - Your background includes relevant Computer Vision or Deep Learning projects, prior internships, published research, or up to 1 year of professional experience in these areas Bonus skills: - Familiarity with 3D Computer Vision tools such as Open3D or scikit-image - Experience with Linux environments, version control via Git/GitHub, or containerization with Docker - Knowledge of GPU acceleration through CUDA, model optimization frameworks like ONNX or TensorRT, inference engines such as OpenVINO, embedded systems like NVIDIA Jetson, or robotics platforms and ROS