Job Description

Role: Computer vision Architect

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

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Desired Experience Range: 14+

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Location of Requirement: INDIA

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Must-Have: Computer Vision Model, Gen AI

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Positive-to-Have: Vision Platforms

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Role descriptions / Expectations from the Role

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1 Solution Architecture

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- Design end-to-end Computer Vision solutions from data acquisition to production deployment.
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- Define scalable architectures for image, video, and multi-modal AI systems.
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- Create high-level and low-level design documents.
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- Define AI platform and MLOps architecture for Vision AI workloads.
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2

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- AI Model Development
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- Architect solutions using:
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- Object Detection
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- Image Classification
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- Instance Segmentation
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- Semantic Segmentation
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- OCR & Document AI
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- Anomaly Detection
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- Human Pose Estimation
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- Tracking & Re-identification
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- Activity Recognition
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- Visual Search
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3

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Advanced Vision AI

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- Design solutions leveraging:
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- Vision Language Models (VLM)
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- Multimodal AI
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- Generative AI for Images/Videos
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- Vision-enabled Agents
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- Video Understanding Models
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- Knowledge Graph integration with Vision AI
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4

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Platform & Deployment

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- Architect edge and cloud deployments.
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- Design GPU infrastructure requirements.
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- Build scalable inferencing pipelines.
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- Define monitoring and governance frameworks
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📌 Computer Vision Architect (Pune)
🏢 Tata Consultancy Services
📍 Pune