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Lead 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, USACharlottesville, VA, 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 Lead Machine Learning Engineer

S&P Global is seeking a Lead/Associate Director of ML & MLOps Engineering specializing in Generative AI solutions within their Data Science COE. This role offers an exciting opportunity to lead engineering activities for production-grade generative AI solutions and implement machine learning engineering operations. The position involves working with a world-class AI ML team of experts in AI ML modeling, ML & LLMOps engineering, data science, and data engineering.

The role combines technical leadership with hands-on engineering, focusing on architecting and deploying GenAI services while managing MLOps/LLMOps platforms. Key responsibilities include working with distributed systems, data ingestion platforms, and microservices architecture. The position requires extensive experience in Python programming, machine learning engineering, and cloud platforms.

S&P Global, as a leader in global financial intelligence and analytics, offers comprehensive benefits including health care coverage, flexible time off, continuous learning opportunities, and retirement planning. The company culture emphasizes integrity, discovery, and partnership, with a strong commitment to progress and innovation.

This position offers a competitive salary range of $108,000 to $215,000, plus annual incentives and comprehensive benefits. The role provides an excellent opportunity for experienced ML engineers looking to advance their careers while working on cutting-edge AI solutions in the financial sector. The hybrid work environment and multiple location options offer flexibility while maintaining collaborative opportunities with industry experts.

Last updated a day ago

Responsibilities For Lead Machine Learning Engineer

  • Lead ML Engineering to architect, build and deploy production grade GenAI services and solutions
  • Work on large-scale stateful and stateless distributed systems
  • Lead MLOps/LLMOps platform development & automated pipelines
  • Collaborate with cross-functional teams to integrate machine learning models
  • Create and manage Documentation and knowledge base
  • Work closely with technology teams in development and implementation of Enterprise AI platform

Requirements For Lead Machine Learning Engineer

Python
Kafka
Kubernetes
  • 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 with Python
  • Experience with MLOps/LLMOps, machine learning engineering, Big Data
  • Experience with Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow
  • Experience with Containerization, Kubernetes, cloud platforms, CI/CD
  • Experience with distributed systems programming, AI/ML solutions architecture

Benefits For Lead Machine Learning Engineer

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

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