Bangalore, Karnataka, India
Information Technology
Full-Time
AppZime Technologies
Overview
Key Responsibilities
- Model Design & Implementation : Architect and develop deep learning solutions (e.g., UNet, 3D CNN) for segmentation, classification, and anomaly detection in medical images.
- Data Coordination : Partner with hospitals and radiologists to source, preprocess, and annotate large-scale imaging datasets (e.g., DICOM)-ensuring high-quality training data.
- Architecture Evaluation : Tailor neural network architectures to specific imaging applications,optimize for performance and interpretability.
- Algorithm Optimization : Implement robust ML techniques for CT/MRI analysis, includingartifact correction, noise suppression, and feature extraction.
- Experience : 5+ years in ML/deep learning model development at the enterprise level; 3+years focused on medical image analysis (CT, MRI, radiological imaging).
- Programming Skills : Expert in Python, including data and image processing libraries (NumPy,pandas, OpenCV), and segmentation workflows.
- DL Frameworks : Proficiency with PyTorch, TensorFlow, or Keras for model development an experimentation.
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