M.Sc. in Computer Science, Electrical Engineering, or a related field, with a thesis in AI, computer vision, data science, or an equivalent discipline At least 3 years of hands-on experience in machine learning At least 3 years of hands-on experience in image processing and computer vision Strong foundation in deep learning theory and practical experience training large-scale models Proficiency in Python and deep learning frameworks such as PyTorch Background in signal processing and physics-based modeling Practical experience with large-scale data processing, pipeline design, and performance evaluation Experience utilizing modern frameworks and keeping up with recent research Knowledge and experience with 3D data (e.g., point clouds, depth sensing, 3D reconstruction) Ph.D. in a relevant field Hands-on experience with model compression techniques (quantization, pruning, distillation) Experience with MLOps workflows and CI/CD pipelines for model development
