AI Operations Engineer: Network AI Reliability & Automation

Globe Telecom, Inc.; Makati; Vor Ort; PHP 1.800.000 - 2.800.000; Vollzeit

Zusammenfassung

Globe Telecom, Inc. is seeking an AI Operations Engineer to scale AI across network ops, improving performance and reliability.

You will bridge data science, network engineering, and operations to move AI models from experiments to real-time production use. You will deploy, monitor, and retrain models for fault prediction, anomaly detection, traffic forecasting, and capacity optimization, ensuring telecom-grade availability and low latency.

Qualifikationen

• Strong understanding of AI/ML fundamentals and evaluation metrics.
• Hands-on experience with MLOps/AIOps tools and model deployment.
• Data validation, feature pipelines, and drift detection expertise.
• CI/CD, automation, and Infrastructure as Code familiarity.
• Proficiency in Python and scripting for testing and automation.
• Knowledge of cloud, edge, and container platforms; Docker/Kubernetes.
• Experience with monitoring, logging, and observability tools.
• Ability to balance innovation with operational risk and reliability.

Aufgaben

• AI Operationalization in Network Ops: deploy and operate AI/ML models for fault prediction and capacity optimization.
• AI Quality Assurance & Network Safety: validate data sources and test model behavior across domains.
• Monitoring, Drift & Lifecycle Management: monitor performance and manage versions across releases.
• Governance, Explainability & Compliance: ensure interpretability and maintain audit trails.
• Collaboration & Continuous Improvement: work with multiple teams and embed QA in CI/CD/MLOps.

Kenntnisse

AI/ML basics

MLOps/AIOps tools

Data engineering

CI/CD

Automation

Python

Scripting

Cloud & containers

Kubernetes

Monitoring

Docker

Security & Compliance

Analytical mindset

Clear communication

Risk management

Team collaboration

Fast learner

Tools

Docker

Kubernetes

CI/CD pipelines

Jobbeschreibung

Globe Telecom, Inc. is seeking an AI Operations Engineer to scale AI across network ops, improving performance and reliability.

You will bridge data science, network engineering, and operations to move AI models from experiments to real-time production use. You will deploy, monitor, and retrain models for fault prediction, anomaly detection, traffic forecasting, and capacity optimization, ensuring telecom-grade availability and low latency.