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
