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