Machine Learning Expert in Medical Imaging

2 days ago

Tirupati, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Senior Data Scientist

Our company is looking for a highly skilled Senior Data Scientist to join our team. This role will involve applying deep learning and artificial intelligence techniques to the domain of medical image analysis.

As a Senior Data Scientist, you will be responsible for selecting features, building and optimizing classifier engines using deep learning techniques. You will also be required to understand the problem and apply the suitable image processing techniques. Additionally, you will use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.

We are looking for someone who can design and implement solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. You should have experience with the development of RESTful APIs and knowledge of libraries like FastAPI.

The ideal candidate will have a solid understanding of software design patterns, microservices, and cloud-native architectures. They should also be familiar with model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation).

Key skills and qualifications include:

  • Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability.
  • Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.
  • 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 the solutions that best fit all the constraints.
  • Good applied statistical skills, such as distributions, statistical testing, regression, etc.
  • Exposure to Agile/Scrum methodologies and collaborative development practices.
  • Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation).

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