Associate Director - 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. 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.

Skills and Competencies

• Experience working on end-to-end data science projects is required to understand and contribute to the full model lifecycle, from development to production.
• Solid software development experience in at least one object-oriented language (Python preferred) is essential for building robust, production-grade ML systems.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) is required to design, deploy, and manage scalable ML infrastructure.
• Experience with Infrastructure as Code (e.g., Terraform) is necessary for creating automated, repeatable, and maintainable deployments.
• Proficiency with containerization technologies (e.g., Docker, Kubernetes) is required for packaging, deploying, and orchestrating ML applications.
• Experience working with databases and data processing tools like Databricks is necessary to build and manage data pipelines for ML models.
• Strong problem-solving and analytical skills are essential for troubleshooting complex systems and designing effective solutions.
• Excellent communication skills are required to collaborate effectively with cross-functional teams and translate business needs into technical solutions.

Education

• Bachelor's or higher degree in Computer Science, Machine Learning, or a related field.

Responsibilities Develop, implement, and deploy production-grade machine learning solutions and systems.

• Develop, implement, and deploy machine learning solutions in production environments.
• Design and implement software architecture for machine learning systems.
• Collaborate with cross-functional teams to understand business requirements and design scalable and efficient solutions.
• Ensure the scalability, reliability, and performance of ML engineering solutions.
• Collaborate with data engineers and data scientists to integrate models into end-to-end data pipelines, services, and applications.

About the team Our Machine Learning Engineering team is responsible for designing and building the applications and platforms supporting our AI solutions. We are at the forefront of the latest innovation from Moody’s, pushing the boundaries on disruption by leveraging AI. By joining our team, you will be part of exciting work in our global distributed teams.

For US-based roles only: the anticipated hiring base salary range for this position is $140,200.00 - $203,350.00, 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 [email protected] . 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.