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