Lead Big Data Engineer – AI/ML Platform & Cloud

spgi; New York (NY); On-site; USD 149,000 - 202,000; Full time

Job summary

S&P Global Ratings is seeking an expert contributor to its Data Services Team. You will collaborate with data scientists and software engineers to design, build, and deploy scalable AI/ML solutions, while driving data-driven decisions and innovation across critical ratings data domains.

You will partner with stakeholders to gather requirements, analyze large datasets, and deliver high-quality AI platforms. This role emphasizes leadership, scalable architecture, and continuous improvement within

Qualifications

• Experience building AI/ML/data-driven solutions in AWS.
• Strong Python with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on Java and Spring Boot development.
• Experience with Docker, Kubernetes, and virtual machines.
• Familiarity with AI-assisted tools like GitHub Copilot.
• Git version control experience.
• Strong SQL skills and data handling capabilities.
• Understanding of NLP and generative AI concepts.
• Experience with AI agents or autonomous workflows.

Responsibilities

• Partner with stakeholders to gather requirements and plan delivery.
• Collaborate with data scientists and engineers to build scalable AI solutions.
• Analyze large datasets and extract data-driven insights.
• Build platforms and tooling to optimize ML model performance.
• Research emerging AI technologies to enhance solutions.
• Work with cross-functional teams in a fast-paced environment.
• Contribute to best practices and reusable AI capabilities.

Skills

AWS

Python

ML frameworks

Java

Spring Boot

Docker

Kubernetes

Git

SQL

NLP

Generative AI

AI agents

Tools

Cursor

Claude Code

GitHub Copilot

Job description

S&P Global Ratings is seeking an expert contributor to its Data Services Team. You will collaborate with data scientists and software engineers to design, build, and deploy scalable AI/ML solutions, while driving data-driven decisions and innovation across critical ratings data domains.

You will partner with stakeholders to gather requirements, analyze large datasets, and deliver high-quality AI platforms. This role emphasizes leadership, scalable architecture, and continuous improvement within