Data Scientist-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