Junior MLOps Engineer Intern — Pipelines & AI Platform

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

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.