AI Software Engineer - Moody's

Key Responsibilities

• Design, implement, and optimize machine learning models for risk scoring, forecasting, and anomaly detection.
• Build scalable data pipelines and APIs using Python and cloud services (AWS) to integrate AI solutions into existing risk platforms.
• Collaborate with data scientists, domain experts, and product teams to translate business requirements into technical specifications.
• Containerize applications with Docker and manage deployments in cloud environments, ensuring reliability and performance.
• Monitor model performance in production, conduct root‑cause analysis, and iterate to improve accuracy and latency.

Requirements

• Strong proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit‑learn.
• Hands‑on experience building and deploying models for Natural Language Processing or time‑series analysis.
• Solid understanding of cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
• Background in data engineering, including SQL/NoSQL databases and ETL pipeline development.
• Excellent problem‑solving skills and ability to work cross‑functionally in an agile environment.