AI & Computer Vision Architect

Tata Consultancy Services; India; Vor Ort; INR 1.200.000 - 2.000.000; Vollzeit

Zusammenfassung

Tata Consultancy Services is seeking an AI & Computer Vision Architect in India to lead the design of scalable CV and AI systems for Industrial Metaverse solutions. You will own end-to-end CV architecture, data pipelines, and model lifecycle—from training to deployment—and mentor a team of designers and developers.

The role emphasizes integrating AI with platforms and data pipelines, deploying using NVIDIA Metropolis/TAO/Replicator/NIM, and ensuring robust, production-ready systems across

Qualifikationen

• Strong Python programming and ability to design large AI/vision codebases.
• End-to-end computer vision system architecture (training, validation, deployment).
• Experience with vision-based quality inspection in manufacturing/production lines.
• Solid understanding of model training, evaluation, optimization, and inference.
• Knowledge of synthetic data usage for improving AI model robustness.

Aufgaben

• Define and own the AI & Computer Vision architecture for Industrial Metaverse solutions.
• Establish standards for synthetic data, model training, validation, and deployment.
• Guide adoption of NVIDIA Metropolis, TAO, Replicator, and NIM where applicable.
• Ensure AI systems are scalable, reliable, and production-ready.
• Mentor developers and align AI design with Omniverse and Physical AI teams.

Kenntnisse

Python

Computer Vision

AI system design

Vision pipelines

Model training

Inference

Tools

NVIDIA Metropolis

TAO Toolkit

Omniverse Replicator

NIM

Jobbeschreibung

Job Description

Required Information Details

Role AI & Computer Vision Architect

Required Technical Skill Set Computer Vision architecture, AI system design, Python, PyTorch, vision pipelines, model training & inference workflows, NVIDIA AI Enterprise-Metropolis, TAO, NIM3Location of Requirement India

Desired Competencies (Technical/Behavioral Competency) Must-Have

• Strong Python programming and ability to design large AI/vision codebases
• End-to-end computer vision system architecture (training validation deployment)
• Experience with vision-based quality inspection in manufacturing / production lines
• Solid understanding of model training, evaluation, optimization, and inference
• Knowledge of synthetic data usage for improving AI model robustness
• Understanding of simulation-based validation and sim-to-real (Sim2Real) concepts
• Ability to integrate AI systems with platform, backend, and data pipelines

Good-to-Have

• Exposure to NVIDIA AI Enterprise
• Exposure to NVIDIA Metropolis (or equivalent vision AI deployment frameworks)
• Exposure to NVIDIA TAO Toolkit (or similar transfer-learning / fine-tuning frameworks)
• Experience with synthetic data generation tools (Omniverse Replicator or equivalent)
• Familiarity with model serving / inference services (NVIDIA NIM or equivalent)
• Experience with edge AI, camera hardware, or industrial vision systems
• Prior exposure to robotics perception or autonomous systems

Role descriptions / Expectations from the Role

• Define and own the AI & Computer Vision architecture for Industrial Metaverse solutions
• Establish standards for synthetic data, model training, validation, and deployment
• Guide adoption of NVIDIA Metropolis, TAO, Replicator, and NIM where applicable
• Ensure AI systems are scalable, reliable, and production-ready
• Mentor developers and align AI design with Omniverse and Physical AI teams

Work hands on a guide a team of designers and developers to build use cases associated with NVIDIA Omniverse, Isaac SIM.