Healium Intelliscan Corporation

Begin an Exciting Journey to the Top of Computer Vision in Medical Imaging! About Us Healium Intelliscan is at the forefront of medical innovation, dedicated to transforming healthcare through advanced artificial intelligence, computer vision, and real-time AI solutions for ultrasound imaging . Our passionate team pushes the boundaries of AI to develop solutions that revolutionize patient care and bring world-class diagnostics to every corner of the globe. About the Role We are seeking a smart and motivated Computer Vision Intern to join our cutting-edge R&D team. You will work alongside experienced professionals on challenging and impactful projects in medical image analysis , focusing on ultrasound images and real-time AI models . This is your chance to design, train, and deploy AI algorithms that directly impact clinical workflows and improve patient outcomes. Responsibilities Collaborate with our dynamic team to design and develop state-of-the-art computer vision algorithms for ultrasound image and video analysis . Evaluate, refine, and optimize existing deep learning models for real-time medical imaging applications . Conduct rigorous experiments to validate algorithms in real clinical scenarios. Contribute to real-time AI pipeline development for medical imaging devices. Stay up to date with the latest research in computer vision, deep learning, and medical imaging AI . Qualifications Strong Python programming skills with clean, efficient coding practices. Solid understanding of deep learning architectures such as MobileNet, EfficientNet, and the YOLO family . Hands-on experience with TensorFlow or PyTorch for training and deploying models. Proficiency in OpenCV and image/video processing libraries. Understanding of image preprocessing and enhancement techniques for ultrasound to improve diagnostic accuracy. Nice to Have Experience with 2D-to-3D reconstruction from ultrasound images . Knowledge of edge/embedded AI deployment for real-time medical imaging. Familiarity with multiple-instance learning, segmentation, or detection models for ultrasound . Internship Type Paid Internship – Work remotely or onsite, with opportunities to contribute to FDA-compliant AI solutions used in real healthcare settings. 💡 If you’re passionate about applying AI to save lives and want to work on groundbreaking medical imaging solutions, this is the opportunity for you! 📩 Apply now and be part of the future of AI-powered healthcare .