S&P Global
Overview
Lead/Associate Director of ML & MLOps Engineering - Generative AI Grade Level (for internal use):
12 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 and Benefits
(This section applies only to US candidates) S&P Global states that the anticipated base salary range for this position is $108,000 to $215,000. 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 People:
We’re more than 35,000 strong worldwide—driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Our Values:
Integrity, Discovery, Partnership Benefits
Our benefits include health & wellness coverage, flexible downtime, continuous learning, retirement planning, education programs, family-friendly perks, and additional lifestyle perks. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Compliance
At S&P Global, we are committed to fairness, transparency, and merit in hiring. Employment is contingent upon compliance with company policies and applicable laws. Recruitment fraud awareness information is provided to protect candidates. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to protected characteristics. For accommodations during the application process, contact EEO.Compliance@spglobal.com. US Candidates: The EEO is the Law poster is available at the Dol.gov link provided in the original posting.
#J-18808-Ljbffr
Lead/Associate Director of ML & MLOps Engineering - Generative AI Grade Level (for internal use):
12 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 and Benefits
(This section applies only to US candidates) S&P Global states that the anticipated base salary range for this position is $108,000 to $215,000. 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 People:
We’re more than 35,000 strong worldwide—driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Our Values:
Integrity, Discovery, Partnership Benefits
Our benefits include health & wellness coverage, flexible downtime, continuous learning, retirement planning, education programs, family-friendly perks, and additional lifestyle perks. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Compliance
At S&P Global, we are committed to fairness, transparency, and merit in hiring. Employment is contingent upon compliance with company policies and applicable laws. Recruitment fraud awareness information is provided to protect candidates. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to protected characteristics. For accommodations during the application process, contact EEO.Compliance@spglobal.com. US Candidates: The EEO is the Law poster is available at the Dol.gov link provided in the original posting.
#J-18808-Ljbffr