Artificial Intelligence Specialist

1 week ago


Anantapur, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Machine Learning Engineer Job Description

We are seeking a highly motivated and experienced PhD candidate to join our team as a Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, deep learning, and biomedical image analysis.

The successful candidate will contribute to the development and optimization of deep learning models to analyze digitized H&E slides for cancer classification and spatial mapping. This role is well-suited for researchers aiming to apply advanced computational methods to biomedical challenges.

Responsibilities:

• 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:

• PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related discipline.

• 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.

• Ability to work collaboratively in a multidisciplinary research environment.

Preferred Qualifications:

• Background in cancer histopathology or biomedical image analysis.

• Knowledge of multimodal data integration, including spatial transcriptomics.



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