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