Tcs Hiring For AI & Computer Vision Architect

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.

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 system