Senior MLOps Lead: Deploy, Scale & Optimize Models

Globe Telecom, Inc.; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Globe Telecom, Inc. is seeking an experienced MLOps Manager to lead the deployment and maintenance of machine learning models. The role includes team leadership, strategic planning, and collaboration with cross-functional teams to ensure model performance and compliance with data privacy regulations.

Ideal candidates have 5+ years in machine learning and MLOps with strong communication and programming skills. This position provides an opportunity to drive innovation and continuous improvement in MLOps practices at Globe.

Qualifications

• Minimum of 5 years of experience in machine learning, data science, or software engineering.
• At least 2–3 years in MLOps, DevOps focused on model deployment.
• Proven ability to manage projects and lead teams.
• Knowledge of data privacy regulations and model governance.
• Willingness to learn new technologies in MLOps.

Responsibilities

• Lead and mentor team members in MLOps.
• Develop and execute the MLOps strategy.
• Oversee deployment of machine learning models.
• Evaluate infrastructure and tools for ML lifecycle.
• Develop pipelines for model inference and retraining.
• Collaborate with cross-functional teams.
• Implement alerting systems for model performance.
• Drive initiatives for enhancing MLOps practices.

Skills

Machine learning

Data science

Software engineering

Project management

Team leadership

Communication skills

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

Tools

Python

R

Java

AWS

Azure

Google Cloud

Docker

Kubernetes

CI/CD pipelines

Git

Job description

Globe Telecom, Inc. is seeking an experienced MLOps Manager to lead the deployment and maintenance of machine learning models. The role includes team leadership, strategic planning, and collaboration with cross-functional teams to ensure model performance and compliance with data privacy regulations.

Ideal candidates have 5+ years in machine learning and MLOps with strong communication and programming skills. This position provides an opportunity to drive innovation and continuous improvement in MLOps practices at Globe.