Sr Data Scientist

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
• Strong AWS ML deployment skills (SageMaker, Lambda, Glue, ECS/EKS, S3, CloudWatch) with AWS ML Specialty certification; experience in Azure, Terraform/CloudFormation, CI/CD pipelines, containerization, and orchestration. 
• Proficient in Python, ML frameworks, distributed training, optimization for large models, and GenAI deployment patterns including prompt engineering. 
• Solid understanding of ML/GenAI concepts, model monitoring, drift detection, and infrastructure automation. 
•Demonstrates strong work ethic, teamwork, clear communication, and excellent problem-solving skills
•    3–4+ years of hands-on experience in MLOps or related roles.

Education 
•    Bachelor’s or master’s degree in computer science, engineering, or a related field.

Roles and responsibilities
• Design and implement robust, scalable ML/GenAI deployment pipelines on AWS using services like Lambda, Glue, ECS/EKS, and Step Functions , along with open-source tools.
• Automate model training, testing, and deployment workflows using CI/CD best practices.
• Optimize inference performance and cost efficiency for large-scale ML and GenAI applications.
• Collaborate  with data scientists to productionize models and integrate them into business applications.
• Design tools and processes to deploy multiple ML and GenAI solutions smoothly.
• Implement monitoring, logging, and alerting for deployed models to ensure reliability and compliance.
• Manage model versioning, governance, and lifecycle using tools like AWS-native solutions or open-source tools .
• Ensure security and compliance of ML workloads, including IAM roles and data encryption.
•  Troubleshoot and resolve issues in ML pipelines and infrastructure.

About the team
Moody’s Ratings’ AI Analytics group develops advanced machine learning and generative AI solutions for high-profile data science initiatives. To strengthen our team, we seek an experienced Senior MLOps Engineer to design, deploy, and maintain production-grade  machine learning (ML) and GenAI systems on AWS. The successful candidate will work closely with data scientists, data engineers, and cloud system engineers to operationalize models, ensuring scalability, reliability, and security across our AI ecosystem.

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.