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
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 infrastructure15 years full time education
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Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
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