Intelligent Data Science Specialist

20 hours ago

Jamnagar, Gujarat, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Unlock the Future of Medical Image Diagnostics

We're pioneering a new era in medical image analysis, pushing the boundaries of intelligent, holistic, and patient-centric care. We seek visionary problem solvers who can empathize with consumers, understand complex business challenges, and design innovative solutions.

Key Responsibilities:

  • Develop and optimize classifier engines using deep learning techniques to select features and build robust models.
  • Apply suitable image processing techniques to tackle intricate problems and deliver high-quality results.
  • Harness AI/Deep Learning to solve supervised and unsupervised learning challenges and drive business growth.
  • Design and implement scalable data science architectures for training, inference, and deployment pipelines.
  • Collaborate with cross-functional teams to drive high-quality deliverables and participate in code reviews, sprint planning, and Agile ceremonies.

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 experience with Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.
  • Hands-on experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks.
  • Experience in solving Computer Vision problems.
  • Knowledge of data augmentation, data curation, and synthetic data generation.
  • Ability to understand complete problems and design solutions that best fit 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 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 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.

Education: BE/B Tech MS/M Tech (a plus)

Experience: 3-5 Years

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