Associate Director - ML/MLOps Engineering Lead

S&P Global

1d • $108,000 - $210,000

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees