Description:
Analyze large-scale wireless (RAN, Core) and IEN network alarm data from OSS/NMS systems * Identify patterns, trends, and recurring fault signatures across network domains * Develop KPIs and dashboards to track network health and fault trends * Build machine learning models for alarm correlation, noise reduction, root cause analysis, anomaly detection, and predictive fault forecasting * Apply supervised and unsupervised learning techniques such as clustering, classification, and time-series anal
Dec 23, 2025;
from:
dice.com