
S&P Global is a leading provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.
We are seeking a Sr. Machine Learning Engineer to join our team in New York, NY. The ideal candidate will have 5+ years of experience in machine learning engineering, model development, and deployment, with a strong background in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar technologies. The candidate will also have experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling.
S&P Global is a leading provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.