AI/ML Engineer - Supply Chain

Job Summary

To support a growing AI/ML initiative, the remote Staff AI/ML Engineer - Supply Chain will design, develop, and deploy machine learning models to optimize supply chain operations, collaborating across various teams to drive impactful business decisions.

Key responsibilities:

• Define and implement the AI transformation roadmap for supply chain operations, aligning with executive stakeholders
• Design, train, and deploy machine learning models for demand forecasting, inventory optimization, and supplier risk assessment
• 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 machine learning, preferably in supply chain or operations
• 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 anomaly detection
• Strong proficiency in Python and SQL, with experience in developing and deploying production machine learning systems
• Familiarity with MLOps practices and cloud platforms such as AWS, GCP, or Azure