Grade Level (for internal use):

Summary: We are seeking a senior ML Engineer to join our ML Engineering team within the Data Science COE at S&P Global. As a senior ML Engineer, you will contribute to the deployment, monitoring, and management of machine learning models and data pipelines. You will work with a peer group of ML engineers to develop ML modules and end-to-end engineering solutions.

In this role, you will play a pivotal role in implementing our machine learning engineering products, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines. You will work in a world class AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams. You will contribute to engineering and developing solutions for ML platforms and products, and be a critical part of leading S&P’s AI-driven transformation to drive value internally and for our customers.

S&P is a leader in automation and AI/ML to transform risk management. This role is a unique opportunity for junior ML / LLM engineers to grow into the next step in their career journey.

Responsibilities (Senior ML Engineer):

●    ML Model Deployment: Assist in deploying machine learning models into production environments.

●    AI ML pipeline and model Monitoring: Contribute to code development and tool rollout for monitoring and maintenance of model performance and infrastructure health.

●    Automation: Participate in the development and maintenance of automated MLOps pipelines.

●    Collaboration: Under guidance from the Head of MlOps, Collaborate with the Data Science COE teams to integrate machine learning models into production systems.

●    Documentation: Maintain documentation of MLOps processes and procedures.

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

●    Problem Solving: Assist in troubleshooting and resolving MLOps-related issues.

Qualifications-

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5 to 10 years of progressive experience as a data analytics, machine learning engineer or similar roles.
• A minimum of 4 years of experience in data science, data analytics, or related field.
• 4 years of relevant experience with
  • Writing production level, scalable code with Python (or Scala)
  • MLOps/LLMOps, machine learning engineering, Big Data, or a related role.
  • ElasticSearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Data-bricks, MLflow.
  • Containerisation, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools.
  • Distributed systems programming, AI/ML solutions architecture, Micro services architecture experience.

Additional Preferred Qualifications:

• 2-3 years of experience with operationalising data-driven pipelines for large scale batch and stream processing analytics solutions
• Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions
• 6-12 months of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases.

About S&P Global Ratings
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.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI).  S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit www.spglobal.com/ratings

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:
 

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

• 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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Diversity, Equity, and Inclusion at S&P Global:
At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.
 

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.