Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
Maintain observability across AI systems through logging, metrics, performance m...
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