MLOps Engineer Intern - EDS

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

Job summary

Globe is seeking an MLOps Engineer Intern to assist in developing, automating, and maintaining MLOps pipelines and platform components for enterprise AI/ML deployment. You will focus on model deployment, pipeline automation, monitoring, feature management, and AI platform integration with senior engineers.

The role covers ML pipeline automation, monitoring & QA, feature store & engineering, and GenAI Ops with MLflow integration and Python modules.

Qualifications

• Pursuing a degree in Computer Science, IT, Computer Engineering, Data Science, or a related technical field.

Responsibilities

• Automate data prep, model scoring, and retraining workflows via Databricks.
• Monitor model validation, data quality checks, and drift detection.
• Develop reusable feature pipelines and datasets using Snowflake, Databricks & Iceberg.
• Integrate MLflow and support agent deployment workflows; create reusable Python modules.

Skills

Python

SQL

ML concepts

Git

Cloud platforms

Databricks

Snowflake

MLflow

Spark

REST APIs

CI/CD

Education

CS/IT/CE/Data Science (final year or above)

Tools

Databricks

Snowflake

MLflow

Spark

Job description

MLOps Engineer Intern - EDS### MLOps Engineer Intern - EDSApply: 19F The Globe Tower: Full time: Posted 3 Days Ago: R0000022001At 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 hereMake 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.