The ideal candidate will have strong experience in Python-based backend development, network automation, telemetry integration, and applied AI/ML for operations and a proven ability to deliver safe, reliable automation and AI-assisted troubleshooting in production environments . Engineer and curate telemetry datasets, perform feature engineering, labeling, data quality validation, and model-ready transformations across metrics, logs, events, traces, and topology.