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About the role
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 images Focus on perfusion & vascular abnormality detection, classification, and staging Work with large-scale ultrasound datasets Implement preprocessing pipelines (image normalization, color flow extraction) Contribute to evaluation, visualisation (heat-maps, Grad-CAM), and reporting tools What 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 quickly Comfortable with Python, data preprocessing, and model training Curiosity, problem-solving mindset, and ability to work independently Bonus (nice-to-have) Experience with DICOM, ultrasound, or biomedical imaging Understanding of Multiple Instance Learning (MIL) Prior research projects or coursework in AI for healthcare What youll get Opportunity to work on real-world healthcare AI problems with direct clinical impact Hands-on mentorship from experienced AI researchers and clinicians Chance to publish, present, or showcase your work A flexible, fast-paced startup workplace that values innovation Competitive compensation for your contributions .
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