Computer vision architect

Role: Computer vision Architect

Required Technical Skill Set: Open CV , Image Processing , Video Analytics , OCR Feature Engineering , Computer Graphics fundamentals

Desired Experience Range: 14+

Location of Requirement: INDIA

Must-Have: Computer Vision Model, Gen AI

Good-to-Have: Vision Platforms

Role descriptions / Expectations from the Role

1 Solution Architecture

Design end-to-end Computer Vision solutions from data acquisition to production deployment. Define scalable architectures for image, video, and multi-modal AI systems. Create high-level and low-level design documents. Define AI platform and MLOps architecture for Vision AI workloads.

2

AI Model Development Architect solutions using: Object Detection Image Classification Instance Segmentation Semantic Segmentation OCR & Document AI Anomaly Detection Human Pose Estimation Tracking & Re-identification Activity Recognition Visual Search

3

Advanced Vision AI

Design solutions leveraging: Vision Language Models (VLM) Multimodal AI Generative AI for Images/Videos Vision-enabled Agents Video Understanding Models Knowledge Graph integration with Vision AI

4

Platform & Deployment

Architect edge and cloud deployments. Design GPU infrastructure requirements. Build scalable inferencing pipelines. Define monitoring and governance frameworks