Advanced Image Analysis Scientist

7 days ago

Aurangabad, Maharashtra, India beBeeMachineLearning Full time ₹ 60,00,000 - ₹ 1,00,00,000
Machine Learning Engineer Job Opportunity

We are seeking a motivated PhD candidate to fill a Machine Learning Engineer position. This role is well-suited for researchers interested in applying advanced computational methods to biomedical challenges.

The ideal candidate will have expertise in designing, developing, and training convolutional neural networks (CNNs) and related ML models on histopathology images.

Key responsibilities include:

  • Designing, developing, and training CNNs and related ML models on H&E-stained histology images.
  • Utilizing and extending tools such as QuPath for cell annotations, segmentation models, and dataset curation.
  • Preprocessing, annotating, and managing large image datasets to support model training and validation.
  • Collaborating with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data.
  • Analyzing model performance and contributing to improving accuracy, efficiency, and robustness.
Required Skills and Qualifications

To be successful in this role, candidates should possess the following qualifications:

  • PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related field.
  • Demonstrated research experience in machine learning, deep learning, or biomedical image analysis.
  • Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • Familiarity with digital pathology workflows, image preprocessing/augmentation, and annotation tools.
Benefits and Opportunities

This position offers a unique opportunity to contribute to cutting-edge research and development in machine learning and biomedical imaging.

Candidates will have the chance to work collaboratively with multidisciplinary teams and engage in meaningful projects that drive innovation and progress.

Additionally, this role provides opportunities for professional growth and development, including access to training and mentorship programs.

The ideal candidate will be able to work effectively in a fast-paced environment and adapt to new challenges and technologies.

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