Machine Learning Operations Expert

Globe Telecom; Manila; On-site; PHP 2,000,000 - 3,200,000; Full time

Job summary

Globe Telecom, Inc. is seeking an experienced MLOps Manager to lead deployment, management, and optimization of machine learning models in production. You will guide a team, shape strategy, and drive end-to-end ML lifecycle—from model inference pipelines to governance and continuous improvement.

You will partner with data scientists, engineers and business stakeholders to ensure reliable, scalable, and cost-efficient ML solutions that align with Globe’s aims and regulatory standards.

Qualifications

• Minimum of 5 years of experience in machine learning, data science, or software engineering roles.
• At least 2–3 years of experience in MLOps, DevOps, or similar roles focused on deployment and operationalization.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• Strong communication and collaboration across cross-functional teams.
• Proficiency in Python, R, or Java.

Responsibilities

• Lead and mentor the MLOps team to deliver scalable ML deployment and maintenance.
• Develop and execute MLOps strategy aligned with Globe objectives and governance.
• Oversee model deployment into production with reliability, scalability and performance.
• Build pipelines for inference and retraining; optimize costs and infrastructure.
• Collaborate with data scientists, data engineers, and stakeholders to improve models.

Skills

MLOps

Team Leadership

Model Deployment

CI/CD

Python

R

Java

Cloud Platforms

Kubernetes

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Docker

Kubernetes

Git

Terraform

CI/CD Tools

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 The MLOps Manager role is all about leading and managing the deployment, management, maintenance and optimization of machine learning models in production environments. DUTIES AND 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 REQUIREMENTS: Minimum of 5 years of experience in machine learning, data science, or software engineering roles.

REQUIREMENTS: Minimum of 5 years of experience in machine learning, data science, or software engineering roles.

At least 2-3 years of experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization Proven track record of managing projects and leading teams. Knowledge of data privacy regulations and best practices in model governance and security. Willingness to continuously learn and adapt to new technologies and methodologies in the MLOps domain.

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Soft Skills: Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and translate technical concepts into business terms. Strong problem-solving abilities and analytical thinking Hard Skills: Proficiency in programming languages such as Python, R, or Java.

Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes). Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC). 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.