AI Data Scientist - Autonomous Network
Tasks
- Align data models with TMF SID concepts
- Analyze telecom network datasets
- Build anomaly detection models
- Build fault prediction models
- Define network data quality rules
- Develop KPI engineering models
- Develop data pipelines for telemetry and OSS data
- Develop graph analytics models
- Develop reusable network KPI models
- Engineer features for network telemetry
- Maintain predictive maintenance models
- Map network entity dependencies
- Perform data cleansing and enrichment
- Perform root cause analysis
- Prioritize incidents using predictive models
- Process data in BigQuery
- Resolve network entities
- Support AIOps analytics
- Support Digital Twin analytics
Perks/Benefits
Skills/Tech-stack
AIOps | Anomaly Detection | BigQuery | Cause analysis | Core Network | Data Cleansing | Data Enrichment | Data Pipelines | Data Quality | Digital Twin | Digital Twin Analytics | Embeddings | Entity Resolution | Fault prediction | Feature Engineering | Graph analytics | IP/MPLS | Inventory Management | KPI Engineering | Kafka | LLM | Machine Learning | Model Evaluation | OSS | OpenAPI | Python | RAG | RAN | Root Cause Analysis | Root cause | SD-WAN | Statistics | Streaming Data | TMF SID | Transport network | Vector Databases
Education
N/A
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