INTERNSHIP DETAILS

MLOps Engineer Intern - EDS

CompanyGlobe Group
LocationPhilippines
Work ModeOn Site
PostedOctober 22, 2026
Internship Information
Core Responsibilities
The intern will assist in developing, automating, and maintaining MLOps pipelines and platform components for enterprise AI/ML deployment. Responsibilities include model validation, performance drift detection, and the creation of reusable feature pipelines.
Internship Type
full time
Company Size
15110
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Globe is a leading full-service telecommunications company in the Philippines and publicly listed in the PSE with the stock symbol GLO. The company serves the telecommunications and technology needs of consumers and businesses across an entire suite of products and services including mobile, fixed, broadband, data connectivity, internet and managed services. It has major interests in financial technology, digital marketing solutions, venture capital funding for startups, and virtual healthcare. In 2019, Globe became a signatory to the United Nations Global Compact, committing to implement universal sustainability principles. Its principals are Ayala Corporation and Singtel, acknowledged industry leaders in the country and in the region. VISION We see a Philippines where Families'​ dreams come true, Businesses flourish, and the Nation is admired. MISSION To do our part, we create Wonderful Experiences for people to have choices, Overcome Challenges, and discover new ways to Enjoy Life. OUR VALUES We put our customers first. We value People & together we make the difference. We act with integrity. We care like an owner. We keep things simple. We move Fast, We are Better Everyday.
About the Role

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 Engineer Intern assists in developing, automating, and maintaining MLOps pipelines and platform components for enterprise AI/ML deployment.
Focuses on model deployment, pipeline automation, monitoring, feature management, and AI platform integration alongside senior engineers.

DUTIES AND RESPONSIBILITIES:


ML Pipeline Automation

  • Automated data prep, model scoring, and retraining workflows via Databricks.

Monitoring & QA

  • Model validation, data quality checks, and performance drift detection.

Feature Store & Engineering

  • Reusable feature pipelines & datasets using Snowflake, Databricks & Iceberg.

Platform & GenAI Ops

  • MLflow integration, agent deployment workflows, and reusable Python modules.



COMPETENCIES:


Core:

  • Basic proficiency in Python programming
  • Familiarity with SQL and relational databases
  • Basic understanding of ML concepts & workflows
  • Familiarity with Git and version control
  • Exposure to cloud platforms (AWS, Azure, GCP)
  • Knowledge of Databricks, Snowflake, MLflow, or Spark
  • Familiarity with REST APIs, testing, or CI/CD concepts

HIRING REQUIREMENTS:


  • Degree Focus: Currently pursuing Computer Science, IT, Computer Engineering, Data Science, or related technical field.
  • Academic Stage: Preferably in the final year of undergraduate studies or masters degree

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.

Key Skills
PythonSQLMachine LearningGitAWSAzureGCPDatabricksSnowflakeMLflowSparkREST APIsCI/CDData preparationModel scoringIceberg
Categories
TechnologySoftwareData & AnalyticsEngineering