Globe Telecom · 3 months ago
Model Ops Manager
Globe Telecom is focused on creating a positive impact for its people and the nation. The MLOps Manager will lead the deployment and optimization of machine learning models, providing mentorship to the team and collaborating with stakeholders to enhance operational efficiency.
InternetMobileTelecommunications
Responsibilities
Team Leadership - provide mentorship, guidance and support to team members
Strategic Planning - develop and execute MLOps strategy aligned with Globe’s objectives
Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective
Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle
Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining
Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models
Model Governance - guides the implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards
Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices
Qualification
Required
Experience in machine learning, data science, or software engineering roles
Experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization
Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes)
Proven track record of managing projects and leading teams
Proficiency in programming languages such as Python, R, or Java
Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC)
Deep knowledge on data privacy regulations and best practices in model governance and security
Knowledgeable on new and emerging technologies relevant to the MLOps domain
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Project Management
Strategic Thinking & Planning
Problem-Solving & Analytical Thinking
Excellent Communication & Interpersonal Skills
Stakeholder Management & Collaboration
Machine Learning & Data Science Principles
DevOps & Software Engineering
Cloud Platforms
Infrastructure & Automation Tools
Monitoring Tools & MLOps Frameworks
Company
Globe Telecom
Globe Telecom is a provider of mobile telephony and broadband services.
Funding
Current Stage
Public CompanyTotal Funding
$314.79MKey Investors
Bank of the Philippine IslandsMetrobank
2024-12-02Post Ipo Debt· $51.08M
2023-09-25Post Ipo Debt· $263.71M
1975-08-11IPO
Leadership Team
Recent News
Mobile World Live
2026-01-19
2026-01-03
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