Information Technology
Full-Time
DeepTek
Overview
Key Responsibilities
- Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection.
- Preprocess and clean medical imaging datasets to enhance AI model performance and reliability.
- Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization.
- Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance.
- Strong fundamental knowledge of machine learning, computer vision and image processing
- Demonstrable experience training convolutional neural networks for segmentation and object detection
- Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL).
- Hands-on experience with deep learning frameworks like Keras or PyTorch.
- Experience with model evaluation and error analysis.
- Familiarity with healthcare or radiology datasets.
- Familiarity with ONNX format
- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
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