S&P Global · 17 hours ago
Associate Director - ML/MLOps Engineering Lead
S&P Global is seeking a Lead/Associate Director of ML & MLOps Engineering to join their ML team within the Data Science Center of Excellence, focusing on building Generative AI solutions. The role involves leading engineering activities for developing production-grade generative AI solutions and overseeing machine learning engineering operations for seamless model deployment and management.
AnalyticsBusiness IntelligenceCreditEnterprise SoftwareFinanceFinancial ServicesInformation ServicesMarket Research
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
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.
Company
S&P Global
S&P Global is a market intelligence company that provides financial information and data analytics services.
H1B Sponsorship
S&P Global has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (28)
2024 (26)
2023 (30)
2022 (38)
2021 (46)
2020 (38)
Funding
Current Stage
Public CompanyTotal Funding
$1.75B2025-12-01Post Ipo Debt· $1B
2023-09-07Post Ipo Debt· $750M
2016-04-28IPO
Recent News
2026-01-23
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2026-01-23
2026-01-22
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