We are seeking an experienced AI developer to contribute to the development of an AI-Based Medical Diagnosis System, which aims to revolutionize healthcare by assisting in the diagnosis of diseases such as cancer, pneumonia, and heart conditions. The project will involve training AI models on medical images, clinical data, and patient histories, with the goal of creating systems that enhance diagnostic accuracy. The ideal candidate will have expertise in computer vision and medical natural language processing (NLP), with a focus on ensuring the reliability and ethical deployment of AI models in real-world healthcare settings. A significant challenge of this project is working with sensitive medical data while adhering to privacy regulations. The project will utilize tools such as Python, TensorFlow/Keras, PyTorch, and Scikit-learn, and will rely on datasets like the NIH Chest X-ray Dataset and MIMIC-III Clinical Database. The AI models will be applied in real-world scenarios, including radiology, pathology, and clinical decision-support systems. The successful candidate will be responsible for developing, training, and deploying AI models, applying computer vision techniques to medical images (e.g., X-rays and CT scans), and using NLP to process clinical text data. You will collaborate with healthcare professionals to ensure the system's practical application in medical environments and ensure the reliability and accuracy of the models. If you are passionate about AI and healthcare and have experience working with sensitive medical data, we encourage you to apply and join us in this exciting project.