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The Impact The Machine Learning Engineer is an integral member of S&P Global's AI Engineering group who partners with data scientists to design, build, deploy, and support AI-powered applications that transform S&P Global's products and operations using machine learning and related techniques. Our machine learning engineers take a modern, full-stack approach to prototyping, developing, deploying, and operating advanced analytics applications and infrastructure in production environments. Working in an organization for which data is the primary raw material, finished product, and core asset provides an unusually rich environment for a machine learning engineer to make an impact.
Partner with data scientists to identify, prototype, develop, deploy, and operate AI-powered applications in production settings
Manage and support the organization's cloud-based data and computing platforms and infrastructure for AI applications
Help drive the organization's initiatives and vision around data pipelines, DevOps, and cloud architecture
Work with a machine-learning-first mindset
University degree in engineering or a related field
Experience releasing and supporting a production software deployment in a cloud environment
Demonstrated expertise in some full-stack combination of:
Web UI / UX
DevOps, Docker, Kubernetes
Graduate degree in a technical field
Experience operationalizing machine learning applications in a production setting
Deep Python and or React expertise
Experience with applied machine learning tools e.g. Scikit-Learn, TensorFlow, PyTorch
Applied experience with text extraction and information retrieval
Demonstrated UI and UX expertise in delivering end-to-end intuitive web UI experiences
The AI Engineering group is based in Charlottesville, VA
The full application process requires completing a take-home data engineering challenge. If this sounds like a fun opportunity, you're in the right place.
Positions are available at all levels
Internal Number: 6610970
About S&P Global
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