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About the role
As a Cloud/AI/ML Support Specialist, your role involves providing technical support for enterprise AI/ML (Gemini) environments on GCP. Your key responsibilities include: - Monitoring, troubleshooting, and resolving production issues in AI/ML systems. - Performing root cause analysis (RCA) to ensure timely issue resolution. - Supporting Agentic AI workflows and diagnosing runtime behavior issues. - Using Python for scripting, automation, and debugging support activities. - Collaborating with engineering and operations teams for incident resolution. - Ensuring smooth operation and availability of AI/ML services. - Maintaining documentation of issues, fixes, and operational procedures. - Supporting deployment validation and system readiness checks. - Communicating updates and status reports to stakeholders. To excel in this role, you are required to have: - 4-6 years of experience in Cloud/AI/ML support or operations roles. - Strong hands-on experience with GCP (Google Cloud Platform). - Good understanding of AI/ML concepts and production model behavior. - Experience in troubleshooting AI/ML workloads in enterprise environments. - Hands-on Python scripting for automation and debugging. - Experience performing RCA and production incident handling. - Exposure to Agentic AI systems or workflow-based AI architectures. - Strong analytical and problem-solving skills. - Good communication and coordination skills. - Ability to work in production support environments with SLA commitments. Your educational background should include Any Graduation. As a Cloud/AI/ML Support Specialist, your role involves providing technical support for enterprise AI/ML (Gemini) environments on GCP. Your key responsibilities include: - Monitoring, troubleshooting, and resolving production issues in AI/ML systems. - Performing root cause analysis (RCA) to ensure timely issue resolution. - Supporting Agentic AI workflows and diagnosing runtime behavior issues. - Using Python for scripting, automation, and debugging support activities. - Collaborating with engineering and operations teams for incident resolution. - Ensuring smooth operation and availability of AI/ML services. - Maintaining documentation of issues, fixes, and operational procedures. - Supporting deployment validation and system readiness checks. - Communicating updates and status reports to stakeholders. To excel in this role, you are required to have: - 4-6 years of experience in Cloud/AI/ML support or operations roles. - Strong hands-on experience with GCP (Google Cloud Platform). - Good understanding of AI/ML concepts and production model behavior. - Experience in troubleshooting AI/ML workloads in enterprise environments. - Hands-on Python scripting for automation and debugging. - Experience performing RCA and production incident handling. - Exposure to Agentic AI systems or workflow-based AI architectures. - Strong analytical and problem-solving skills. - Good communication and coordination skills. - Ability to work in production support environments with SLA commitments. Your educational background should include Any Graduation.
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