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Day 13
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From 4,284 similar postings that came down. Coming down is not always a hire.
MLOps Engineer Intern - EDS
19F The Globe Tower
Actively hiring, first seen by us 13 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: MLOps Engineer Intern - EDS
Education & alternatives
- 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.
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 202613 days ago
- Recorded sightings
- 18
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Globe International is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- MLflow
- Snowflake
- Spark
Where the posting names them
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 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
ML Pipeline Automation - Automated data prep, model scoring, and retraining workflows via Databricks. Monitoring & QA
Feature Store & Engineering - Reusable feature pipelines & datasets using Snowflake, Databricks & Iceberg. Platform & GenAI Ops
- Exposure to cloud platforms (AWS, Azure, GCP) - Knowledge of Databricks, Snowflake, MLflow, or Spark - Familiarity with REST APIs, testing, or CI/CD concepts
Your next step
Complete your application on globe.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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- Location & working pattern
19F The Globe Tower
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