AI Infrastructure Architect

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 Professional Technical Skills: Support scaling of training/inference infrastructure Qualification 15 years full time education