AI Operations Engineer

Globe Telecom, Inc.; Makati; On-site; PHP 1,800,000 - 2,800,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description: Responsible for operationalizing AI at scale to improve network performance, service reliability, and operational efficiency. They bridge data science, network engineering, and operations, ensuring AI models move from experimentation into real-time, mission-critical use.

DUTIES & RESPONSIBILITIES

1. AI Operationalization in Network Ops Deploy and operate AI/ML models used for fault prediction, alarm correlation, anomaly detection, root-cause analysis, traffic forecasting, and capacity optimization Integrate AI outputs into NOC & NOA Digital Ecosystem tools, OSS/NMS, ITSM, and network automation platforms Support closed-loop and human-in-the-loop automation for incident, change, and performance management Ensure telecom-grade availability, latency, scalability, and resiliency
2. AI Quality Assurance & Network Safety Validate network data sources (KPIs, counters, alarms, logs, traces, telemetry) for accuracy and completeness Test AI behavior under normal, peak, and failure scenarios across RAN, transport, core, and cloud domains Prevent AI-driven actions that could cause network instability, service degradation, or SLA breaches Define and enforce AI quality gates before production rollout
3. Monitoring, Drift & Lifecycle Management Continuously monitor model performance, confidence, data drift, and concept drift Establish thresholds to trigger alerts, rollback, retraining, or manual intervention Manage model versioning, baselines, and performance history across releases
4. Governance, Explainability & Compliance Ensure AI recommendations are interpretable and actionable for NOC engineers Maintain audit trails for AI decisions affecting network configuration or traffic Enforce security, privacy, and regulatory compliance
5. Collaboration & Continuous Improvement Work with network engineers, data scientists, DevOps, NOC & Operations teams Embed AI QA into CI/CD and MLOps pipelines Drive continuous optimization of AI models based on live network feedback

REQUIREMENTS

• Technical Skills Strong understanding of AI/ML fundamentals (model types, training, inference, evaluation metrics) Hands-on experience with MLOps/AIOps tools and practices (model deployment, monitoring, retraining) Data engineering skills: data validation, feature pipelines, data drift detection Experience with CI/CD, automation, and Infrastructure as Code Proficiency in Python and scripting for testing, monitoring, and automation Knowledge of cloud, edge, and container platforms (Docker, Kubernetes) Familiarity with monitoring, logging, and observability tools
• Soft Skills Strong analytical and troubleshooting mindset Clear communication with both technical and operations teams Ability to balance innovation with operational risk and reliability Level of Knowledge: 2, 3 Level 2 – Experienced: 3-4 years of work experience in the desired/closely related area(s) Level 3 – Solid: 5-7 years of work experience in the desired/closely related area(s) Competencies Strong foundation in software build, testing, deployment, and monitoring Solid understanding of version control, automation, and deployment strategies Ability to manage multiple tasks and prioritize effectively Willingness and capability to learn quickly and adapt to new tools and technologies Strong collaboration skills with a customer-first mindset Clear communication skills to ensure alignment on security, scalability, and reliability requirements Ability to understand system architecture and interact with multiple application components written in different programming languages

Equal Opportunity Employer Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants. Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Globe Telecom, Inc. (Globe) is the leading Telecommunications company in the Philippines and the purveyor of the Filipino digital lifestyle. We provide cellular, broadband and mobile data services by focusing on enriching our content offerings amid customers' growing preference for multimedia platforms across multiple screens and devices. We want to enrich lives through communications by simplifying technology, so that we bring customers closer to what matters most. Globe was also recognized as one of the Top companies to work for in Asia by Asia Corporate Excellence & Sustainability (ACES) Awards and Best Employer in the Telco category by Stevie’s New York. Our principal shareholders are Ayala Corp. and Singtel, both industry leaders in their respective countries and in the region. We are also a member of Bridge Alliance, Asia Pacific's leading mobile alliance of 36 mobile carriers.

Purpose

In everything we do, we treat people right to create a Globe of Good.

Vision

We see a Philippines where families' dreams come true, businesses flourish, and the nation is admired.

Mission

We create wonderful experiences for people to have choices, overcome challenges, and discover new ways to enjoy life.