Deep Learning Expert/Developer (On-site)
Core
Develop deep learning models and tools for retinal disease detection, severity classification, and disease progression prediction using biomedical images and clinical data.
Role type
Senior Deep Learning Developer (Medical Image Analysis)
Builds
Production deep learning tools for Android/iOS/Web platforms supporting clinical decision-making
Domain
Biomedical imaging and clinical data analysis
Deliverable
production ML models
Required skills
Deep learning (CNNs, MLPs), Medical image processing, Python, PyTorch, Keras, High-performance GPU clusters, Android/iOS/Web development, Statistical analysis, Decision Tree algorithms (Random Forest, XGBoost, LightGBM)
Preferred skills
PhD in CS/Engineering, Manuscript publication experience, Linux/Windows environment expertise
Technologies
Python, PyTorch, Keras, Android, iOS, Web, Linux, Windows, GPU clusters
Responsibilities
Develop deep learning models for retinal disease detection and progression prediction; Build and optimize tools for mobile and web deployment; Analyze clinical records and genomic data; Visualize model activations and experimental results
Seniority
Senior, hands-on IC