Vacancy Description
Key Responsibilities and Deliverables
1. Design and build AI solutions for infrastructure validation and TRR automation, including a validation assistant for engineers.
2. Develop intelligent automation that integrates with Azure DevOps (ADO) for pipelines, bug management, and workflow orchestration.
3. Create AI/Copilot systems for predictive analytics and diagnostics across hardware.
4. Build data ingestion and correlation pipelines across multi-source telemetry, logs, and firmware data to support RCA and compliance validation.
5. Implement an AI-driven log analytics platform with intelligent notifications, anomaly detection, and guided remediation workflows.
6. Deliver a bug automation engine integrated with ADO and a knowledge copilot to surface similar incidents, fixes, and best practices.
7. Develop predictive failure detection and firmware compatibility analysis to reduce downtime and improve deployment readiness.
Required Skills & Qualifications
1. Design and build AI solutions for infrastructure validation and TRR automation, including a validation assistant for engineers.
2. Develop intelligent automation that integrates with Azure DevOps (ADO) for pipelines, bug management, and workflow orchestration.
3. Create AI/Copilot systems for predictive analytics and diagnostics across hardware.
4. Build data ingestion and correlation pipelines across multi-source telemetry, logs, and firmware data to support RCA and compliance validation.
5. Implement an AI-driven log analytics platform with intelligent notifications, anomaly detection, and guided remediation workflows.
6. Deliver a bug automation engine integrated with ADO and a knowledge copilot to surface similar incidents, fixes, and best practices.
7. Develop predictive failure detection and firmware compatibility analysis to reduce downtime and improve deployment readiness.
Required Skills & Qualifications
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