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

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.