Senior Data Scientist

2 weeks ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000
Transform Medical Imaging with Artificial Intelligence

We aim to revolutionize the field of medical image diagnostics by harnessing the power of intelligent, holistic, and patient-centric care. Our vision is to provide innovative solutions that bridge the gap between technological advancements and clinical needs.

Key Responsibilities:

  • Select relevant features, design and optimize classifier engines using deep learning techniques.
  • Understand complex problems and apply suitable image processing techniques.
  • Utilize AI and deep learning methods to solve supervised and unsupervised learning challenges.
  • Develop solutions for intricate medical image analysis tasks using Deep Learning/Object Detection/Image Segmentation.
  • Implement best practices around statistical modeling.
  • Create, train, test, and deploy various neural networks to tackle complex issues.
  • Design and implement scalable data science architectures for training, inference, and deployment pipelines.
  • Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team.
  • Optimize models for production, including quantization, pruning, and latency reduction for real-time inference.
  • Drive the adoption of versioning strategies for models, datasets, and experiments.

Required Skills and Qualifications:

  • 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 experience with 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 comprehend complex problems and design optimal solutions that meet all constraints.
  • Knowledge of common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc.
  • 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.
  • Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies.
  • Experience with medical image analysis will be an advantage.
  • Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers).
  • Solid understanding of software design patterns, microservices, and cloud-native architectures.
  • Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation).
  • Familiarization with Triton.

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