The Position

Our Ratings Technology Services and Technology Strategy Governance team enables a culture & mindset of Customer-First with a focus on delivering value through disciplined program delivery. Continuing to improve our User experience and stability of systems, employee productivity, innovation & overall employee engagement.

Responsibilities

• Work on ML engineering problems involving applying LLMs within Generative AI space.

• Work closely with members of technology teams in the development, and implementation of Enterprise AI platform.

• Collaborate with cross-functional teams to integrate machine learning models into production systems.

• Work on initiatives focusing on MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring and maintaining models in production environments; with model governance, cost and performance optimization.

• Create documentation and knowledge base, MLOps/LLMOps processes and procedures.

• Gain exposure into Ratings process and companywide standards, research, tools and other practices in analytical space. 

• Take ownership of a specific problem aimed at solving real world use case related to structured finance or finance in general.  

• Engage with senior leadership, build relations with diverse employee across the organization and get involved in various events other than your core responsibilities.   

Requirements

• Have strong Computer Science fundamentals through a current pursuit of bachelor’s in Computer Science, math or Computer Engineering, Management Information Systems, or related discipline 

• Fully matriculated students with anticipated graduation date in Fall 2026 or Spring 2027  

• Programming experience with python.

• Exposure to cloud platforms including containerization, Kubernetes, CI/CD pipelines and workflow orchestration tools.

• Collaborating with teammates during technical designs and planning. 

Nice To Haves

• Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. 

• A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. 

• Exposure to projects involving integration with AI/ML or applying AI/ML to solving real world problems.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
  

Company

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.