Data Science Specialist

1 day ago

Vijayawada, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

We're looking for an innovative Data Scientist to join our medical image diagnostics team. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis.

Responsibilities include:

  • Selecting features, building and optimizing classifier engines using deep learning techniques.
  • Understanding the problem and applying the suitable image processing techniques.
  • Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
  • Designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.
  • Implementing best practices around the application of 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 scalable data science architectures for training, inference, and deployment pipelines.

You will need strong software engineering skills in Python with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on experience 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.

Skills and qualifications required:

  • 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.
  • Experience with the development of RESTful APIs.
  • The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential.

Benefits include the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and develop your skills in a dynamic environment.

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