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Specialized microscopy CV role but mid-level range and metro location create moderate candidate density.
Microscopy and biological imaging domain knowledge required, reducing transferability across industries.
Explicit years cap and specialized microscopy and deep-learning skills make filtering moderately strict.
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Design and develop custom computer vision and deep learning algorithms specifically for microscopy image analysis.
Build and optimize end-to-end image analysis pipelines handling diverse microscopy data modalities from acquisition to quantitative outputs.
Collaborate with biologists, microscopists, and AI researchers to translate experimental imaging needs into computational solutions and validate model performance.
Degree in Computer Science, Artificial Intelligence, Computer Vision, Electronics, Electrical Engineering, Biomedical Engineering, or related fields (B.E./B.Tech./M.Tech./M.S.).
Strong programming skills in Python and experience with OpenCV.
Experience implementing and evaluating deep learning models using PyTorch or similar frameworks focused on microscopy image analysis.
Work Experience Required: 0-5 years; freshers to experienced candidates eligible.
Demonstrated experience applying computer vision and deep learning specifically to cell/tissue microscopy imaging tasks.
Familiarity with microscopy imaging modalities such as Brightfield, Phase Contrast, Fluorescence, and Confocal microscopy.
Experience working with or adapting modern vision architectures (CNNs, Vision Transformers, segmentation models) and vision foundation models for microscopy data.