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

Positive-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

📌 Computer Vision Architect (Maharashtra)
🏢 Tata Consultancy Services
📍 Maharashtra