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 you’ll 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 we’re 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 you’ll 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 environment that values innovation
• Competitive compensation for your contributions