Project Role : AI Infrastructure Architect Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration. Must have

skills:
Google Cloud Machine Learning Services Good to have

skills:
Machine Learning Operations Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: Build and maintain ML pipelines for training, evaluation, and deployment Roles &

Responsibilities:
• Build and maintain ML pipelines for training, evaluation,



and deployment
• Support model versioning, packaging, and CI/CD for ML workflows
• Monitor deployed models for performance, drift, and reliability
• Automate data preprocessing and feature pipelines
• Collaborate with data scientists to deploy and operationalize models
• Troubleshoot infrastructure and pipeline issues
• Maintain documentation of ML infrastructure and workflows Skilled & Technical

Skills:
• Support scaling of training/inference infrastructure

📌 AI Infrastructure Architect (Gurugram)
🏢 Accenture in India
📍 Gurugram