About the Role We are looking for a Computer Vision Engineer to design and develop custom algorithms for microscopy and biomedical image analysis. You will build end-to-end image analysis pipelines, work with cutting-edge deep learning and vision foundation models, and collaborate closely with biologists, scientists, and AI researchers to solve real-world imaging challenges.

Key Responsibilities
- Design and develop custom computer vision algorithms using Python, OpenCV, and deep learning frameworks for microscopy image analysis.
- Build end-to-end image analysis pipelines tailored to microscopy workflows, from raw acquisition to quantitative output.
- Work with diverse microscopy modalities, including Brightfield, Phase Contrast, Fluorescence, Confocal, and other light/electron microscopy datasets.
- Develop solutions for cell and tissue segmentation (including instance and semantic segmentation), cell/organelle detection, tracking, and morphological feature extraction.
- Design algorithms for image enhancement, denoising, deconvolution,



and artifact correction specific to microscopy data (e.g., uneven illumination, photobleaching, low-light noise).
- Build quantitative image analysis tools for measuring cell counts, morphology, intensity, colocalization, and other biologically relevant metrics.
- Design and implement custom algorithms rather than relying solely on off-the-shelf microscopy software tools (e.g., ImageJ/Fiji, CellProfiler), where custom solutions offer greater accuracy or flexibility.
- Leverage, adapt, and fine-tune up-to-date deep learning and vision foundation models (e.g., segmentation foundation models, self-supervised models) for microscopy-specific applications.
- Handle large-scale, high-dimensional microscopy data (multi-channel, z-stacks, time-lapse) efficiently, including preprocessing and pipeline optimization.
- Collaborate with biologists, microscopists, and AI researchers to translate experimental imaging needs into robust computational s

📌 Computer Vision Engineer II (Hyderabad)
🏢 Aganitha Cognitive Solutions
📍 Hyderabad