Computer Vision Architect

Role: Computer vision Architect

Required Technical Skill Set: OpenCV , 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