MLOps Engineer Intern - EDS

Globe Group; Taguig; On-site; PHP 167,000 - 279,000; Full time

Job summary

Globe is seeking an MLOps Engineer Intern to help develop, automate, and maintain pipelines and platform components for enterprise AI/ML deployment. You’ll focus on model deployment, pipeline automation, monitoring, feature management, and AI platform integration alongside senior engineers.

Gain hands-on experience with Databricks, Snowflake, MLflow, and cloud platforms while you build reusable Python modules and contribute to a robust AI platform ecosystem at Globe.

Qualifications

• Pursuing a relevant technical degree
• Preferably in final year of undergraduate studies or in a master’s program
• Ability to work with Python and data workflows

Responsibilities

• Automate data prep, model scoring, and retraining workflows via Databricks.
• Model validation, data quality checks, and performance drift detection.
• Reusable feature pipelines & datasets using Snowflake, Databricks & Iceberg.
• MLflow integration, agent deployment workflows, and reusable Python modules.

Skills

Python

SQL

ML concepts

Git

Cloud platforms

Databricks

Snowflake

MLflow

Spark

REST APIs

Education

Bachelor's degree in Computer Science / IT / CE / Data Science or related field

Tools

Databricks

Snowflake

MLflow

Spark

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 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.