About the Role

Grade Level (for internal use)

12

Job Description: Lead/Associate Director of ML & MLOps Engineering - Generative AI

About the Role

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

The Team

You will work closely with a world-class AI ML team comprised of experts in AI ML modeling, ML engineering, data science, and data engineering. You will contribute to engineering and developing solutions for ML operations 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 ML/MLOps engineers to grow into the next step in their career journey.

Responsibilities and Impact

Lead ML engineering to architect, build, and deploy production-grade generative AI services and solutions.
Work on large-scale distributed systems, including infrastructure, data ingestion platforms, databases, microservices, orchestration services, and more.
Lead platform development and automated pipelines focusing on deploying, monitoring, and maintaining models in production environments, with an emphasis on 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 bases, including development best practices and processes.
Work closely with technology teams in the development and implementation of an enterprise AI platform.

Compensation/Benefits Information

(This section applies only to US candidates) S&P Global states that the anticipated base salary range for this position is $108,000 to $210,000. The final base salary will be based on the individual’s geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We’re Looking For

Basic Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.
8+ years of progressive experience in machine learning, data analytics, or similar roles.
5 years of relevant experience in writing production-level, scalable code.
Experience with MLOps, machine learning engineering, big data, or related roles.
Proficiency in containerization, cloud platforms, CI/CD, and workflow orchestration tools.
Experience in distributed systems programming, AI/ML solutions architecture, and microservices architecture.

Additional Preferred Qualifications

2-3 years of experience operationalizing data-driven pipelines for large-scale batch and stream processing analytics solutions.
Experience contributing to research projects or similar initiatives.
6-12 months of experience working with generative AI use cases.

Return to Work

If you have taken time out for caring responsibilities and are looking to return to work, as part of our Return to Work initiative, Restart, we encourage enthusiastic and talented returners to apply. We will actively support your return to the workplace.

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

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.

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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

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

Job ID: 312048

Posted On: 2025-10-29

Location: New York, New York, United States

Associate Director - ML/MLOps Engineering Lead

Job Type