S&P Global, Inc.
Lead GenAI Machine Learning Engineer - Infrastructure (Remote)
S&P Global, Inc., New York, New York, us, 10261
About the Role:
Grade Level (for internal use):
11We are seeking a Lead ML Engineer to join our ML team within the Data Science COE at S&P Global. As a Lead 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 operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines.The Team:You will work closely 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 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/LLMops engineers to grow into the next step in their career journey.Responsibilities and Impact:Architect, develop and manage machine learning model development and deployment lifecycle to launch GenAI and ML services end to end.Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and NoSQL databases, microservices, orchestration services, and more.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 technology teams in the development and implementation of the Enterprise AI platform.Fine-tune and optimize models: Adjust and refine generative AI models to enhance performance, adapt to new data, or meet specific use case requirements.What We’re Looking For: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 (or Scala).MLOps/LLMOps, machine learning engineering, Big Data, or a related role.Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow.Containerization, Kubernetes, cloud platforms, CI/CD, and workflow orchestration tools.Distributed systems programming, AI/ML solutions architecture, Microservices architecture experience.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.6-12 months of experience working with RAG pipelines, prompt engineering, and/or Generative AI use cases.Return to Work:
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply and 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.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.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—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.Our Values:
Integrity, Discovery, PartnershipBenefits:
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.For more information on benefits by country visit:
https://spgbenefits.com/benefit-summariesDiversity, 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.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.
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Grade Level (for internal use):
11We are seeking a Lead ML Engineer to join our ML team within the Data Science COE at S&P Global. As a Lead 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 operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines.The Team:You will work closely 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 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/LLMops engineers to grow into the next step in their career journey.Responsibilities and Impact:Architect, develop and manage machine learning model development and deployment lifecycle to launch GenAI and ML services end to end.Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and NoSQL databases, microservices, orchestration services, and more.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 technology teams in the development and implementation of the Enterprise AI platform.Fine-tune and optimize models: Adjust and refine generative AI models to enhance performance, adapt to new data, or meet specific use case requirements.What We’re Looking For: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 (or Scala).MLOps/LLMOps, machine learning engineering, Big Data, or a related role.Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow.Containerization, Kubernetes, cloud platforms, CI/CD, and workflow orchestration tools.Distributed systems programming, AI/ML solutions architecture, Microservices architecture experience.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.6-12 months of experience working with RAG pipelines, prompt engineering, and/or Generative AI use cases.Return to Work:
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply and 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.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.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—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.Our Values:
Integrity, Discovery, PartnershipBenefits:
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.For more information on benefits by country visit:
https://spgbenefits.com/benefit-summariesDiversity, 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.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.
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