Intelligent Medical Image Analysis Specialist

8 hours ago

Nellore, Andhra Pradesh, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 30,00,000
Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The successful candidate will be responsible for applying deep learning and artificial intelligence techniques to the domain of medical image analysis.

Key Responsibilities:

  • 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.
  • Understanding the requirements and designing solutions and architecture in accordance with them.
  • Participating in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.
  • Designing and implementing scalable data science architectures for training, inference, and deployment pipelines.
  • Ensuring code quality, readability, and maintainability by enforcing software engineering best practices within the data science team.
  • Optimizing models for production, including quantization, pruning, and latency reduction for real-time inference.
  • Driving the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC).
  • Contributing to the architectural design of data platforms to support large-scale experimentation and production workloads.

Requirements:

  • 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.
  • 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.

Bachelor's Degree: BE/B Tech Years of Experience: 3-5 Years

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