AI/ML Supply Chain Engineer

Job Summary

To support a growing AI/ML initiative, the remote AI/ML Supply Chain Engineer will design, develop, and deploy machine learning models to optimize supply chain operations across various functions, collaborating with cross-functional teams to drive data-driven decision-making.

Key responsibilities:

• Define and execute the AI transformation roadmap for supply chain, ensuring alignment with company objectives
• Design, train, validate, and deploy ML models for demand forecasting, inventory optimization, and supplier risk scoring
• Enhance data infrastructure and analytics platforms to support real-time model training and monitoring

Required qualifications:

• 8+ years of experience in applied data science or ML, preferably in supply chain or operations research
• Master's or PhD in Computer Science, Statistics, Data Science, or a related technical field
• Expertise in statistical modeling and machine learning techniques, including time series forecasting and optimization
• Strong programming skills in Python and proficiency in SQL, with experience in deploying production ML systems
• Familiarity with MLOps practices and experience building real-time inference pipelines