Software Development Engineer AI/ML

This position provides a seasoned AI/ML engineer with an opportunity to help transform enterprise data, workflows, and legacy systems into modern, AI-enabled capabilities that enhance decision-making across S&P; Global’s products. As an AI/ML Engineer, you will foster a strong sense of collaboration while working closely with internal business partners, data stakeholders, software engineers, and product teams to deliver measurable business outcomes.

Technically, you will design, develop, deploy, and maintain AI/ML solutions that leverage modern cloud-native architectures on AWS. You will apply emerging and established techniques across the end-to-end AI/ML lifecycle, including data engineering, model development, evaluation, deployment, monitoring, and production support. Your experience with applied machine learning, Generative AI, Large Language Models, and integration of AI capabilities into production systems will be used extensively in this role.

At S&P; Global, we use modern engineering platforms and services such as GitHub, TeamCity, AWS,



Datadog, Artifactory, Confluence, Jira, and CI/CD practices to support rapid delivery. You will also use AI-assisted engineering tools such as GitHub Copilot to improve developer productivity across tasks such as building data pipelines, accelerating experimentation, generating and refining code, improving documentation, and supporting automated testing, while validating outputs and ensuring alignment with responsible AI practices. You will be working in a fast-paced environment, leveraging contemporary engineering practices to improve code quality, model governance, operational readiness, scalability, and delivery efficiency.

Role Overview:
We are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects.
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