Associate Director - Machine Learning Engineer - Mobility

S&P Global Mobility

Hybrid
Scalable machine learning pipelines
Robust etl/elt processes
Cloud-native data services
S&P Global Mobility is seeking an Associate Director - Machine Learning Engineer to lead the development of AI-powered supply chain intelligence solutions. The ideal candidate will possess extensive experience in data engineering and machine learning, particularly in cloud-based environments, and will thrive in a collaborative, innovation-driven culture

Job Summary

  • The Procurement IQ team is pioneering AI-powered supply chain intelligence solutions within S&P Global Mobility’s Supply Chain and Technology organization.
  • Design, develop, and deploy scalable machine learning pipelines and data processing workflows to support AI-powered supply chain intelligence solutions.
  • Our benefits include health care coverage, generous time off, continuous learning resources, retirement planning, and family-friendly perks.

Matching Summary

Match Score: 85

S&P Global Mobility is seeking an Associate Director - Machine Learning Engineer to lead the development of AI-powered supply chain intelligence solutions. The ideal candidate will possess extensive experience in data engineering and machine learning, particularly in cloud-based environments, and will thrive in a collaborative, innovation-driven culture.

Skills & Requirements

Must-have

  • scalable machine learning pipelines
  • robust ETL/ELT processes
  • cloud-native data services
  • data models and schemas
  • productionize machine learning models
  • DevOps practices
  • modern cloud-native architectures

Nice-to-have

  • graph data stores and knowledge graphs
  • containerization technologies and orchestration
  • Infrastructure as Code approaches
  • CI/CD pipelines automation
  • continuous learning and cross-functional partnership

Key Requirements

  • Bachelor's or Master's degree
  • 12 years of hands-on experience
  • Strong programming skills
  • Experience with distributed data processing frameworks
  • Hands-on experience with cloud platforms
  • Experience with ETL/ELT development
  • Proficiency in SQL

Work Rights

Not specified

Tailored Resume

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