AI Researcher

7 days ago


Palakkad, Kerala, India beBeeMachineLearning Full time ₹ 18,00,000 - ₹ 24,00,000
Job Title: Machine Learning Engineer

We are seeking a motivated PhD candidate interested in machine learning for histopathology image analysis.

The successful applicant will contribute to developing and optimizing deep learning models to analyze digitized H&E slides for cancer classification and spatial mapping.

  • Design, develop, and train convolutional neural networks (CNNs) and related ML models on H&E-stained histology images.
  • Use and extend tools such as QuPath for cell annotations, segmentation models, and dataset curation.
  • Preprocess, annotate, and manage large image datasets to support model training and validation.
  • Collaborate with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data.
  • Analyze model performance and contribute to improving accuracy, efficiency, and robustness.
  • Document research findings and contribute to publications in peer-reviewed journals.

Qualifications:

  • A PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related discipline is required.
  • Demonstrated research experience in machine learning, deep learning, or biomedical image analysis is essential.
  • Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch are necessary.
  • Familiarity with digital pathology workflows, image preprocessing/augmentation, and annotation tools is desirable.
  • The ability to work collaboratively in a multidisciplinary research environment is important.

Benefits:

This is an excellent opportunity to work at the forefront of medical imaging research and contribute to the development of innovative solutions for cancer diagnosis and treatment.

What We Offer:

We offer a dynamic and supportive research environment, opportunities for professional growth and development, and a competitive salary and benefits package.


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