Computer Vision Engineer ( Biomedical Imaging)

Aganitha Cognitive Solutions; Hyderabad; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Aganitha Cognitive Solutions is seeking a Computer Vision Engineer to develop custom computer vision and image processing solutions for biomedical applications. You will design advanced image analysis pipelines and build deep learning models for segmentation and feature extraction.

The ideal candidate will have strong programming skills in Python and hands-on OpenCV experience, with a passion for solving challenging scientific problems.

Qualifications

• Freshers and experienced candidates (5 years) are welcome to apply.
• Exposure to biomedical imaging datasets such as Microscopy, MRI, CT, or PET images is preferred.
• Prior experience in biomedical imaging or medical image analysis will be an added advantage.

Responsibilities

• Design and develop custom computer vision algorithms using Python and OpenCV.
• Build image analysis pipelines for biomedical imaging applications.
• Collaborate with scientists and AI researchers to solve real-world biomedical research challenges.

Skills

Strong programming skills in Python

Hands-on experience with OpenCV

Good understanding of Computer Vision

Experience with Deep Learning

Familiarity with image segmentation

Education

B.E./B.Tech./M.Tech./M.S. in Computer Science or related

Tools

Python

OpenCV

PyTorch

Job description

Role Overview

As a Computer Vision Engineer, you will develop custom computer vision and image processing solutions for biomedical and healthcare applications. You will work with microscopy and medical imaging datasets, design advanced image analysis pipelines, and build deep learning models for segmentation, feature extraction, and modeling.

This role is ideal for candidates with strong computer vision fundamentals, hands‑on OpenCV expertise, and an interest in solving challenging scientific problems.

Key Responsibilities

• Design and develop custom computer vision algorithms using Python, OpenCV, and deep learning frameworks.
• Build image analysis pipelines for biomedical imaging applications.
• Work with imaging datasets including Microscopy (Brightfield, Phase Contrast, Fluorescence), MRI, CT, and PET scans.
• Develop solutions for image segmentation, advanced segmentation, cell and tissue detection, feature extraction (featurization), image enhancement, denoising, and quantitative image analysis.
• Design and implement custom algorithms rather than relying solely on off‑the‑shelf software tools.
• Leverage and fine‑tune modern deep learning and vision foundation models for biomedical imaging applications.
• Collaborate with scientists, AI researchers, and domain experts to solve real‑world biomedical research challenges.
• Evaluate and optimize machine learning and deep learning models for performance and accuracy.

Qualifications, Skills & Candidate Profile

• B.E./B.Tech./M.Tech./M.S. in Computer Science, Artificial Intelligence, Computer Vision, Electronics, Electrical Engineering, Biomedical Engineering, or related disciplines.
• Freshers and experienced candidates (5 years) are welcome to apply.
• Strong programming skills in Python and hands‑on experience with OpenCV.
• Good understanding of Computer Vision, Image Processing, Machine Learning, and Deep Learning.
• Experience implementing, training, and evaluating deep learning models using PyTorch or similar frameworks.
• Familiarity with modern vision architectures such as CNNs, Vision Transformers (ViTs), segmentation models, and vision foundation models.
• Knowledge of image segmentation, feature extraction, image enhancement, and custom image processing pipeline development.
• Exposure to biomedical imaging datasets such as Microscopy, MRI, CT, or PET images is preferred.
• Experience through industry projects, academic research, internships, thesis work, or personal projects.
• Familiarity with image annotation, model training, fine‑tuning, and evaluation techniques.
• Strong analytical, problem‑solving, and research skills.
• Prior experience in biomedical imaging or medical image analysis will be an added advantage.