Google Cloud Machine Learning Services(AI Infrastructure Architect) (Bengaluru)

Project Role : AI Infrastructure ArchitectProject 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 ServicesGood to have skills : Machine Learning OperationsMinimum 5 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary:Build and maintain ML pipelines for training, evaluation, and deploymentRoles & 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 workflowsQualified & Technical Skills:- Support scaling of training/inference infrastructure .