✦ Luna Orbit — AI & Machine Learning

Associate Director - Machine Learning Engineer - Mobility

at S&P Global

📍 2 Locations Hybrid Posted March 13, 2026
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Position Details

Type Not Specified
Experience lead
Exp. Years 12+ years
Education Bachelor's or Master's in Computer Science, Data Engineering, or related field
Category AI & Machine Learning

About this role

This role involves designing and deploying scalable ML pipelines and data workflows to support AI-driven supply chain intelligence solutions within S&P Global Mobility.

Key Responsibilities

  • Design ML pipelines
  • Develop data workflows
  • Build data models
  • Collaborate with data scientists
  • Optimize data pipeline performance

Technical Overview

The technical scope includes ML pipelines, data processing workflows, ETL/ELT, data modeling, SQL, cloud-native architectures, and distributed data processing frameworks.

Ideal Candidate

The ideal candidate is a highly experienced machine learning engineer with over 12 years in data engineering and ML workflows, proficient in cloud-native data solutions and scalable pipeline development, capable of leading complex AI-powered supply chain projects.

Must-Have Skills

Machine LearningData pipelinesETL/ELTData modelingSQLCloud platforms

Nice-to-Have Skills

Graph databasesWorkflow orchestrationData securityPerformance optimization

Tools & Platforms

AWSAzureGoogle CloudData lakesData warehousesApache SparkAirflow

Required Skills

Machine LearningData pipelinesETL/ELTData modelingSQLCloud platformsData lakesData warehousesDistributed data processingData analysis

Hard Skills

Machine LearningData pipelinesETL/ELTData modelingSQLCloud platformsData lakesData warehousesDistributed data processingData analysis

Soft Skills

Problem-solvingCollaborationAttention to detailCross-functional teamworkInnovation

Industry & Role

Industry Supply Chain & Logistics
Job Function Leading development of machine learning and data engineering solutions for supply chain analytics

Keywords for Your Resume

Associate DirectorMachine Learning EngineerML pipelinesData processing workflowsETL/ELTData modelsSQLCloud-native architecturesData lakesData warehousesDistributed data processingData analysisAI-powered supply chainData securityWorkflow orchestrationMachine LearningData pipelinesData modelingCloud platforms

Deal Breakers

Less than 12 years of experience, Lack of experience with cloud data platforms, No background in data modeling or ML pipelines

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