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

Valuable-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 (Pune)
🏢 Tata Consultancy Services
📍 Pune