Google Cloud Machine Learning Services

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