About the Role:

Grade Level (for internal use):

11

About the Role:

We are seeking a Lead Machine Learning and MLOps Engineer focused on Generative AI to join our ML team within the Data Science Center of Excellence at S&P Global. In this role, you will lead engineering activities to build production-grade generative AI solutions and play a pivotal role in implementing machine learning engineering operations to ensure seamless deployment, monitoring, and management of our machine learning models and data pipelines.

The Team:

You will work closely with a world-class AI and ML team comprised of experts in AI and ML modeling, MLOps engineers, data science, and data engineering. Your contributions will be critical in engineering and developing solutions for ML operations, supporting S&P’s AI-driven transformation to drive value both internally and for our customers. This role presents a unique opportunity for ML/MLOps engineers to advance in their career journey.

Role/Responsibilities and Impact:

• ML Engineer to architect, build, and deploy production-grade GenAI services and solutions.
• Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and NoSQL databases, microservices, orchestration services, and more.
• Lead MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring, and maintaining models in production environments; with model governance, cost, and performance optimization.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Create and manage documentation and knowledge base, including development best practices, MLOps/LLMOps processes, and procedures.
• Work closely with members of AI, Data Science, and MLE teams in the development and implementation of S&P Global Ratings Enterprise AI platform.

Basic Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of progressive experience as a data analytics, machine learning engineer, or similar roles.
• A minimum of 5 years of experience in data science, data analytics, or related field.
• 5 years of relevant experience with:
  • Writing production-level, scalable code with Python.
  • MLOps/LLMOps, machine learning engineering, or a related role.
  • Search and analytics platforms (such as Elasticsearch, Solr, or OpenSearch), SQL, NoSQL databases, workflow orchestration tools (including but not limited to Apache Airflow, Prefect, or Dagster), distributed data processing frameworks (such as Apache Spark, Apache Flink, or Dask), streaming platforms (like Apache Kafka, Apache Pulsar, or Amazon Kinesis), cloud-based ML platforms (such as Databricks, AWS SageMaker, or Azure ML), and ML lifecycle management tools (like MLflow, Kubeflow, or Weights & Biases).
  • Experience building with LangChain/LangGraph/LangSmith or similar framework technologies.
  • Containerization technologies (such as Docker, Podman, or containerd), container orchestration platforms (including but not limited to Kubernetes, Docker Swarm, or OpenShift), cloud platforms, and CI/CD platforms (such as Jenkins, GitLab CI, or Azure DevOps).
  • Distributed systems programming, AI/ML solutions architecture, and microservices architecture experience.
  • Cloud tools and services (including but not limited to AWS, Azure, or Google Cloud Platform) and SaaS solutions.

Additional Preferred Qualifications:

• 2-3 years of experience with operationalizing 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, or open-source/GitHub code contributions.
• 6-12 months of experience working with RAG pipelines, prompt engineering, and/or Generative AI use cases.
• Understanding of Agentic AI architecture, including key protocols like MCP, Google A2A.
• LLM/Model API and inference framework experience.

About S&P Global RatingsAt 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 Mission:

Advancing Essential Intelligence.

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. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

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

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

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.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

-----------------------------------------------------------

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.   US Candidates Only:  The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.  Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

-----------------------------------------------------------

IFTECH202.2 - Middle Professional Tier II (EEO Job Group)