Computer Vision Engineer- Medical Imaging

Infosys; Maharashtra; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Infosys is seeking a skilled AI/ML specialist focused on medical imaging to design and optimize algorithms for segmentation and 3D reconstruction from CT and MRI data.

You will work with DICOM/PACS, implement multi-view geometry, and collaborate across teams to deploy production-grade imaging solutions on cloud platforms.

Qualifications

• Experience designing AI/ML algorithms for medical image analysis and 3D reconstruction.
• Strong background with DICOM and PACS data workflows.
• Experience with multi-view geometry and 3D registration.
• Familiarity with MLOps to ensure reproducibility.

Responsibilities

• Develop AI/ML algorithms for medical image analysis, segmentation, and 3D reconstruction from CT images.
• Perform multimodal image registration and cloud-based training pipelines.
• Collaborate with teams for dataset curation, labeling, and ground truth generation.
• Integrate AI components into production imaging applications.
• Document research findings and maintain version-controlled repositories.
• Stay up-to-date with trends in AI and medical imaging.

Skills

Medical imaging

3D reconstruction

DICOM data handling

OpenCV

SLAM

GANs/VAEs/Diffusion Models

Tools

Docker

MLflow

PACS

PCL

CUDA

Job description

• Experience in 2D and 3D medical imaging (CT, MRI, Ultrasound, TEE) and DICOM data handling.
• Strong understanding of 3D geometry, camera calibration, stereo vision, and multi-view reconstruction.
• Experience in segmentation, registration, and object tracking within medical image contexts.
• Proficiency with classical computer vision techniques (OpenCV, PCL, feature detection, structure-from-motion, SLAM, etc.).
• Knowledge of generative and reconstruction models (GANs, VAEs, Diffusion Models) and fine-tuning methods for domain-specific applications.
• Design, develop, and optimize AI/ML algorithms for medical image analysis, segmentation, and 3D reconstruction from TEE and CT images.
• Research and implement advanced deep learning architectures including CNNs, GANs, VAEs, and Diffusion Models for medical imaging tasks.
• Develop robust 3D reconstruction pipelines from 2D image data and multi-view geometries, tailored to medical imaging workflows.
• Perform multimodal image registration (CT-CT, CT-MRI, Fluro-Endo, 2D-3D) and develop tools for alignment, calibration, and fusion.
• Enhance and denoise medical images using advanced computer vision and AI-based enhancement techniques.
• Work extensively with DICOM data, integrating with PACS systems for data ingestion and retrieval.
• Collaborate with teams for dataset curation, labeling, and ground truth generation.
• Develop scalable training and inference pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
• Ensure reproducibility and traceability in experiments using MLOps practices (Docker, MLflow, or similar).
• Collaborate with software engineers to integrate AI components into production-grade imaging applications.
• Document research findings, maintain version-controlled repositories, and contribute to technical publications or IP filings.
• Stay up-to-date with emerging trends in AI, computer vision, and medical imaging technologies.