Key Responsibilities
This specialized role bridges traditional network engineering with machine learning development:
Data Analysis: Reviewing real-world data from deployed networks, including logs, configs, telemetry, and event streams.
Annotation: Labeling and classifying key network behaviors, issues, and anomalies to train autonomous infrastructure AI.
Structural Engineering: Helping define schemas and structures for large-scale data pipelines that power next-generation networking AI.
Candidate Requirements
Experience: Proven background as a Network Engineer, ideally with hands-on experience in enterprise networks (switches, Access Points, firewalls).
Technical Proficiency: Must be comfortable interpreting complex logs, events, and time-series metrics.
Mindset: A strong curiosity about how raw infrastructure data is transformed into machine learning inputs.
Availability: Must be able to commit to 30–40 hours per week.dCbhrqfm
To apply for this job please visit lnkd.in.
