Senior AI Engineer

About the role

Daignostix builds clinical AI for medical imaging, with algorithms spanning neuro and stroke, pulmonary embolism, aortic pathology, urology, spine and rib fracture, solid-organ trauma and paediatric chest. As a Senior AI Engineer, you will own clinical AI algorithms end to end: problem formulation, data and ground truth, modelling, clinical evaluation, production deployment and monitoring.

What you'll do

• End-to-end algorithm ownership. Own one or more clinical AI algorithms from proposal through data strategy, modelling, validation, deployment
• Model development. Design and train CNN, transformer and hybrid models for classification, detection and segmentation, using classical ML where it is the better fit
• Data and ground truth. Architect DICOM pipelines and dataset curation with lineage and versioning. Catch leakage, label-quality issues
• Production engineering. Turn validated models into production services (Docker, FastAPI/REST) with robust GPU inference
• MLOps and reliability. Deploy on AWS, Azure or GCP and on on-premise GPU infrastructure. Own experiment tracking, model registries, CI/CD

What you need

• 5–8 yrs of experience
• Machine learning
• Python
• Scikit-learn
• TensorFlow
• AWS
• Deep learning
• B.Tech or B.E. or M.Tech or M.Sc

Good to have

• LLMs
• Terraform
• Computer vision
• MLOps
• PyTorch
• NumPy