
Medical Image Diagnostics Expert
7 days ago
We are seeking a highly skilled Data Scientist to join our team in the field of medical image diagnostics. Our goal is to provide intelligent, holistic, ethical, explainable and patient-centric care. We aim to bring about a new paradigm in medical image diagnostics by leveraging cutting-edge technologies such as deep learning and artificial intelligence.
The successful candidate will have a strong background in software engineering with expertise in Python and proficiency in Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, and VAEs. Experience with Tensorflow or PyTorch framework is essential for building, training, testing, and deploying neural networks.
Responsibilities:- Selecting features, building and optimizing classifier engines using deep learning techniques.
- Understanding the problem and applying suitable image processing techniques.
- Using techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
- Designing solutions for complex problems related to medical image analysis using Deep Learning/Object Detection/Image Segmentation.
- Implementing best practices around statistical modeling.
- Creating, training, testing, and deploying various neural networks to solve complex problems.
- Developing and implementing solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.
- Designing and implementing scalable data science architectures for training, inference, and deployment pipelines.
- Strong software engineering skills in Python with emphasis on clean code, modularity, and testability.
- Excellent understanding and hands-on experience with Deep Learning techniques.
- Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks.
- Experience in solving problems in the domain of Computer Vision.
- Knowledge of data, data augmentation, data curation, and synthetic data generation.
- Ability to understand the complete problem and design solutions that best fit all constraints.
- Knowledge of common data science and deep learning libraries and toolkits.
- Good applied statistical skills.
- Exposure to Agile/Scrum methodologies and collaborative development practices.
Bachelor's degree in Computer Science, Mathematics, or a related field.
3-5 years of experience in Data Science or related field.
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