Job Description
Job Description
The Engineer will be responsible for handling complex business-critical incidents across large-scale AI/ML-driven SaaS products in a B2B enterprise environment. Serving as the final technical escalation point, this role ensures the high availability, performance, and compliance of customer-facing platforms running on Microsoft Azure. It demands a strong blend of cloud-native troubleshooting expertise, AI/ML workload insight, and enterprise-grade operational practices.
Responsibilities
The Engineer will be responsible for handling complex business-critical incidents across large-scale AI/ML-driven SaaS products in a B2B enterprise environment. Serving as the final technical escalation point, this role ensures the high availability, performance, and compliance of customer-facing platforms running on Microsoft Azure. It demands a strong blend of cloud-native troubleshooting expertise, AI/ML workload insight, and enterprise-grade operational practices.
Responsibilities
- Act as the highest-level technical authority for critical issues impacting AI/ML SaaS products.
- Develop a detailed technical understanding of AI applications and services and be equipped to fix hands-on issues in any area.
- Perform deep-dive diagnostics across microservices, APIs, AI/ML pipelines, and Azure resources.
- Lead root cause analysis (RCA), create incident/problem records, and implem...
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