AI Engineer Medical Imaging (Entry-Level)

We are developing next-generation AI solutions for disease detection and staging using medical imaging. We are seeking a passionate AI/Deep Learning Engineer (Entry-level) to join our team and contribute to building impactful healthcare technologies. What youll work on Develop and train deep learning models (CNNs, Transformers, MIL, U-Net) for ultrasound imagesFocus on perfusion & vascular abnormality detection, classification, and stagingWork with large-scale ultrasound datasetsImplement preprocessing pipelines (image normalization, color flow extraction)Contribute to evaluation, visualisation (heat-maps, Grad-CAM), and reporting toolsWhat were looking for Strong fundamentals in Deep Learning & Computer Vision (PyTorch/TensorFlow)Knowledge of CNNs, Transformers, Segmentation (U-Net)Familiarity with medical imaging or willingness to learn quicklyComfortable with Python, data preprocessing, and model trainingCuriosity, problem-solving mindset, and ability to work independentlyBonus (nice-to-have) Experience with DICOM, ultrasound, or biomedical imagingUnderstanding of Multiple Instance Learning (MIL)Prior research projects or coursework in AI for healthcareWhat youll get Opportunity to work on real-world healthcare AI problems with direct clinical impactHands-on mentorship from experienced AI researchers and cliniciansChance to publish, present, or showcase your workA flexible, fast-paced startup environment that values innovationCompetitive compensation for your contributions We are developing next-generation AI solutions for disease detection and staging using medical imaging. We are seeking a passionate AI/Deep Learning Engineer (Entry-level) to join our team and contribute to building impactful healthcare technologies. What youll work on Develop and train deep learning models (CNNs, Transformers, MIL, U-Net) for ultrasound imagesFocus on perfusion & vascular abnormality detection, classification, and stagingWork with large-scale ultrasound datasetsImplement preprocessing pipelines (image normalization, color flow extraction)Contribute to evaluation, visualisation (heat-maps, Grad-CAM), and reporting toolsWhat were looking for Strong fundamentals in Deep Learning & Computer Vision (PyTorch/TensorFlow)Knowledge of CNNs, Transformers, Segmentation (U-Net)Familiarity with medical imaging or willingness to learn quicklyComfortable with Python, data preprocessing, and model trainingCuriosity, problem-solving mindset, and ability to work independentlyBonus (nice-to-have) Experience with DICOM, ultrasound, or biomedical imagingUnderstanding of Multiple Instance Learning (MIL)Prior research projects or coursework in AI for healthcareWhat youll get Opportunity to work on real-world healthcare AI problems with direct clinical impactHands-on mentorship from experienced AI researchers and cliniciansChance to publish, present, or showcase your workA flexible, fast-paced startup environment that values innovationCompetitive compensation for your contributions