Artificial Intelligence Engineer

AI Engineer

Develop and maintain AI models. · Expertise in AI, specifically in deep learning, computer vision, and real-time image processing · Experience with machine learning frameworks (TensorFlow, PyTorch) and familiarity with convolutional neural networks (CNNs), and generative models like GANs, and Transformer architecture, which are commonly used in medical image analysis. · Algorithms optimization like quantization, pruning, distillation, and factorization · Continuously improves code quality and work methodologies by interfacing with peers/cross-functional groups and analyzing activities to improve workflow and work processes. · Willing to adopt new architecture, programming language and practices based on company future goal. · Continuously looking for better code, design, and open to feedback. Requirements: · Experience: 6+ years of strong experience in AI model development. · Expertise in AI, specifically in deep learning, computer vision, and real-time image processing. · Experience with machine learning frameworks (TensorFlow, PyTorch) and familiarity with convolutional neural networks (CNNs), and generative models like GANs, and Transformer architecture, which are commonly used in medical image analysis. · Experience leveraging, fine-tuning, and deploying open-source [github, huggingface] ML models in ML domains including computer vision, audio, language · Experience in optimization algorithms like quantization, pruning, distillation, and factorization · Working knowledge in 3D image visualization, OpenGL/DirectX/Python. · Strong understanding of software engineering principles. · Experience with data preprocessing, augmentation, and working with large-scale datasets. · Experience in python training ML models on large datasets · Experience interpreting training results (training loss, validation loss) and other metrics to ensure high accuracy and prevent overfitting · Excellent problem-solving, project management, and leadership skills