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Sr. Machine Learning Engineer

S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in global capital, commodity and automotive markets.
Princeton, NJ, USANew York, NY, USA
$108,000 - $215,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Finance

Description For Sr. Machine Learning Engineer

S&P Global is seeking a Senior Machine Learning Engineer to join their Data Science Center of Excellence, focusing on Generative AI and MLOps engineering. This role offers an exciting opportunity to work with a world-class AI and ML team while leading engineering activities to build production-grade generative AI solutions.

The position involves architecting and implementing machine learning operations to ensure seamless deployment, monitoring, and management of ML models and data pipelines. You'll be working with cutting-edge technologies in large-scale distributed systems, including infrastructure, data ingestion platforms, and microservices.

The role offers a competitive salary range of $108,000 to $215,000, along with comprehensive benefits including health care coverage, generous time off, continuous learning opportunities, and retirement planning. S&P Global, with over 35,000 employees worldwide, is the world's foremost provider of credit ratings, benchmarks, and analytics in global capital markets.

As a Senior ML Engineer, you'll collaborate with cross-functional teams, oversee MLOps platform development, and play a crucial role in S&P's AI-driven transformation. The ideal candidate should have 8+ years of experience in machine learning or data analytics, with strong expertise in production-level coding, MLOps, and distributed systems.

The company culture emphasizes integrity, discovery, and partnership, offering a supportive environment for career growth and innovation. This role presents an excellent opportunity for experienced ML engineers looking to make a significant impact in a global organization while working on cutting-edge AI technologies and solutions.

Last updated 9 days ago

Responsibilities For Sr. Machine Learning Engineer

  • 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
  • Oversee MLOps platform development and automated pipelines
  • Collaborate with cross-functional teams to integrate machine learning models into production systems
  • Create and manage documentation and knowledge base
  • Work closely with technology teams in the development of an enterprise AI platform

Requirements For Sr. Machine Learning Engineer

Python
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 8+ years of progressive experience in machine learning, data analytics, or similar roles
  • 5 years experience writing production-level, scalable code
  • Experience with MLOps, machine learning engineering, big data
  • Experience with relational and non-relational databases
  • Experience with containerization, cloud platforms, CI/CD
  • Experience with distributed systems programming and AI/ML solutions architecture

Benefits For Sr. Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Education Budget
  • Health care coverage
  • Generous time off
  • Continuous learning resources
  • Competitive pay
  • Retirement planning
  • Company-matched student loan contribution
  • Financial wellness programs
  • Family friendly benefits
  • Retail discounts
  • Referral incentive awards

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