Intelligent Medical Image Analyst

2 days ago

Kota, Rajasthan, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Opportunity

Job Description

We are seeking to innovate medical image diagnostics by providing intelligent, holistic, explainable, and patient-centric care. We need individuals who can empathize with consumers, understand business problems, and design and deliver intelligent products.

Your primary focus will be on applying deep learning techniques to the domain of medical image analysis. This involves selecting features, building, and optimizing classifier engines using deep learning techniques, understanding the problem and applying suitable image processing techniques, and solving supervised and unsupervised learning problems using artificial intelligence/deep learning.

Responsibilities:

  • Selecting features, building, and optimizing classifier engines using deep learning techniques.
  • Understanding the problem and applying suitable image processing techniques.
  • Solving supervised and unsupervised learning problems using artificial intelligence/deep learning.
  • Designing solutions for complex problems related to medical image analysis 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, including applying algorithms from standard statistical tools, deep learning, or custom algorithm development.
  • Designing solutions and architecture in accordance with requirements.
  • 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.
Required Skills and Qualifications

We require individuals with strong software engineering skills in Python (or other languages used in data science) with an emphasis on clean code, modularity, and testability. Experience with TensorFlow or PyTorch framework in building, training, testing, and deploying neural networks is essential.

The ideal candidate should have experience in solving problems in the domain of Computer Vision and knowledge of data, data augmentation, data curation, and synthetic data generation. Good applied statistical skills, such as distributions, statistical testing, regression, etc., are also required.

Benefits:

  • Experience with the development of RESTful APIs.
  • Familiarity with libraries like FastAPI and ability to apply it to deep learning architectures.
  • 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.
Bonus Qualifications

BE/B Tech MS/M Tech will be a bonus. 3-5 years of experience is preferred.

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