Description
Responsible for operationalizing AI at scale to improve network performance, service reliability, and operational efficiency. They bridge data science, network engineering, and operations, ensuring AI models move from experimentation into real-time, mission-critical use.DUTIES & RESPONSIBILITIES
1. AI Operationalization in Network Ops
Deploy and operate AI/ML models used for fault prediction, alarm correlation, anomaly detection, root-cause analysis, traffic forecasting, and capacity optimization
Integrate AI outputs into NOC & NOA Digital Ecosystem tools, OSS/NMS, ITSM, and network automation platforms
Support closed-loop and human-in-the-loop automation for incident, change, and performance management
Ensure telecom-grade availability, latency, scalability, and resiliency
2. AI Quality Assurance & Network Safety
...