S&P Global-posted about 2 months ago
$108,000 - $210,000/Yr
Full-time • Mid Level
Princeton, NJ
5,001-10,000 employees
Administrative and Support Services

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.

  • 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.
  • 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.
  • 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.
  • 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.
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