Key Responsibilities

• Analyze telecom network data across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service domains.
• Develop KPI models for performance, quality, faults, customer impact, capacity, and resilience.
• Build ML models for anomaly detection, fault prediction, root-cause analysis, and proactive assurance.
• Create data pipelines for aggregation, cleansing, enrichment, and feature engineering.
• Support digital twin and graph analytics for topology, dependencies, service impact, and fault propagation.
• Develop network data quality, correlation, and entity resolution frameworks.
• Enable AIOps use cases such as alarm reduction, incident prioritization, predictive maintenance, and RCA.
• Collaborate with AI/LLM teams to provide datasets, features, embeddings, and metadata for RAG and AI agents.
• Align network data models with TMF SID/Open API standards.

Required Technical Skills

• Python, Statistics, Machine Learning
• KPI & Feature Engineering
• Network Performance Analytics (RAN, Core, IP, SD-WAN, Transport)
• Fault Analysis, Correlation & Anomaly Detection
• AIOps & Predictive Analytics
• Data Pipelines & Quality Management
• TMF SID/Open APIs
• Graph Analytics & Digital Twin Analytics
• BigQuery or equivalent platforms
• LLMs, RAG, and AI Agents

Youll Love About Working Here

We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.
Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.
Youll have access to continuous learning opportunities and certifications in emerging technologies like cloud and AI.