Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science or Software Engineering or a related discipline.
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Support the deployment, release, and operational transition of new AI products, enhancements, and reporting capabilities.
Work closely with AI Product and AI Architecture teams to ensure smooth implementation and ongoing support of AI solutions.
Maintain and monitor AI operational KPIs, system health, service levels, and user adoption metrics, providing regular performance reports to management.
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