Model Deployment-Machine Learning Engineer

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. 

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. 

Skills and Competencies

Required:

• Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, Physics, or another quantitative field with 3+ years of industry experience.
• Strong programming skills in Python or R.
• Proficiency in Linux-based systems, including shell scripting and command-line tools.
• Excellent communication skills in English (both written and verbal).

Preferred:

• Ph.D. in Computer Science, Software Engineering, Mathematics, Statistics, or Physics.
• A strong public record of programming experience (e.g. active GitHub or open-source contributions).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Hands-on experience with AWS services including EC2, S3, and Lambda.
• Familiarity with machine learning and statistical modeling, both in theory and application.
  

Education

Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, Physics, or another quantitative field

Responsibilities

We are seeking a highly skilled and motivated Model Deployment / Machine Learning Engineer to enhance our model deployment processes and infrastructure. The ideal candidate will have deep experience in implementing and maintaining computational models at scale, with proficiency in R, Python, Linux, and AWS. This role involves close collaboration with cross-functional teams to support the entire model lifecycle from development and deployment to long-term maintenance and optimization.

• Collaborate with research teams to translate statistical and machine learning models into efficient, production-ready code.
• Design, build, and maintain packages for deploying credit analytics and predictive models in production environments.
• Support the end-to-end model lifecycle including testing, validation, monitoring, and continuous improvement.
• Troubleshoot and resolve technical issues related to model performance and infrastructure.
• Develop and maintain documentation for deployment processes and infrastructure components.
• Work with cross-functional teams to ensure model implementations meet product requirements and performance standards.
• Contribute to the advancement of best practices for model deployment and maintenance within the Credit COE.

About the team

The Credit Center of Excellence (COE) at Moody’s is dedicated to maintaining and enhancing our industry-leading credit analytics and predictive modelling capabilities. We work closely with various departments including product management, commercial strategy, and go-to-market leaders to ensure the delivery of high-quality credit risk assessments and solutions. This collaborative approach allows the COE to integrate seamlessly into Moody’s Analytics structure to support and grow our customers’ business operations and enhance their ability to navigate risk.

For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $169,000.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.