AI Operations Engineer

Globe Telecom; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Globe Telecom is seeking an AI Operations & QA professional to operationalize AI at scale across network ops. You will bridge data science, network engineering, and operations to move AI models into real-time, mission-critical use.

The role involves automation, monitoring, and governance to ensure telecom-grade reliability. The position requires strong AI/ML fundamentals, MLOps experience, data validation, and collaboration across teams.

Qualifications

• Strong understanding of AI/ML fundamentals and model types.
• Hands-on experience with MLOps/AIOps tools and practices.
• Data validation, feature pipelines, and drift detection.
• Experience with CI/CD, automation, and IaC.
• Proficiency in Python and scripting for testing and automation.
• Knowledge of cloud, edge, and container platforms (Docker, Kubernetes).
• Familiarity with monitoring, logging, and observability tools.
• Strong analytical and troubleshooting mindset.
• Clear communication with technical and operations teams.
• Ability to balance innovation with 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 AI behavior across domains.
• Monitoring, Drift & Lifecycle Management: monitor model performance and manage versions across releases.
• Governance, Explainability & Compliance: ensure interpretable AI recommendations and audit trails.
• Collaboration & Continuous Improvement: work with engineers, data scientists, and NOC teams to optimize models.

Skills

AI/ML fundamentals

MLOps/AIOps

Data validation

CI/CD

Python scripting

Docker

Kubernetes

Monitoring & observability

Analytical troubleshooting

Cross-team collaboration

Tools

Docker

Kubernetes

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

NATURE OF PROBLEMS ENCOUNTERED An AI Operations & QA Professional faces problems driven by dynamic data, probabilistic models, and high operational risk.

Common challenges include poor or inconsistent data quality, model performance degradation caused by data and network changes, and managing false positives or missed incidents that erode operator trust. They must ensure AI decisions are explainable and auditable, especially in regulated, mission‑critical environments. Additional issues include safely controlling automation to avoid cascading failures, integrating AI with complex legacy systems, and validating models against rare but severe edge cases.

Overall, the role centers on managing uncertainty, reliability, and trust in live AI systems.

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
• 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

SOFT SKILLS

• 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.