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
Valuable 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
Qualified & Technical Skills:
Support scaling of training/inference infrastructure