Role AI & Computer Vision Architect

Total Experience : 12+ year

- Required Technical Skill Set

Computer Vision architecture, AI system design, Python, PyTorch, vision pipelines, model training & inference workflows, NVIDIA AI Enterprise-Metropolis, TAO, NIM

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.

Positive-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 system

📌 Tcs Hiring For AI & Computer Vision Architect (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru