Machine Learning Engineer Intern

This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Must-Have
Skills and Competencies

• Experience with python language
• Understanding of AWS S3 or Google Cloud buckets
• Basic understanding of cloud technologies
• Understanding of agentic principles and GenAI
• Experience with Unix/Linux & file system
• Understanding of engineering processes
• Must be self-motivated; a self-starter or problem-solver.
• Must be a clear communicator.

Preferred Experience In

• Remote Linux environments
• Writing regression/integration tests
• Git or other version control system
• AI processes and Agentic principles
• QA automation
• AWS services
• Databricks, MLFlow, Spark
• JSON protocol
• Software development
• Knowledge of SQL

Education

• Pursuing a degree in one of the following majors: Machine Learning, Data Analytics/Data Science, Finance, Financial Engineering, Statistics, Computer Engineering/Computer Science, Mathematics, Business Intelligence or related subject
• Ideally one year ahead of graduation.

Responsibilities
The intern will be exposed to the different but necessary stages of software engineering that are needed to process and test ML/AI models for our customers.

• Work with team members to understand models' finetuning and evaluation
• Get familiar with existing procedures in ML team
• Improve and automate testing and finetuning procedures
• Produce dashboards with measurable outcomes
• Use python language
• Store data and properties in AWS S3 and Databricks
• Improve platform to support implemented tools
• Get Familiar with existing testing procedures and work with team members to understand the framework
• Produce presentation and final reports
• Document and share progress in Confluence and JIRA tickets

About The Team
The Data Estate division is the commercial data business of Moody's Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world's most comprehensive database of public and private companies. We are also the definitive source of ratings- related data for companies and securities that have been rated by Moody's Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.