Associate Director - Machine Learning Engineer

## About the Role Moody's Machine Learning Engineering team develops and deploys production-grade ML solutions that power credit risk analytics, ratings, and financial intelligence products used globally. This fully remote role focuses on building scalable ML systems. ## Responsibilities - Develop and deploy production-grade ML solutions for credit risk and financial analytics - Build end-to-end data science pipelines from experimentation to production - Design scalable ML architectures on cloud platforms (AWS/GCP/Azure) - Collaborate with data scientists and product teams to productionize models - Mentor junior ML engineers and contribute to technical standards ## Requirements - 5+ years of ML engineering or data science experience - Strong proficiency in Python and ML frameworks - Experience with cloud platforms (AWS, GCP, or Azure) - Kubernetes and Docker expertise - End-to-end data science project experience - Knowledge of financial services or credit risk domain preferred