Shape the enterprise AI strategy, define the technical vision, and lead the deployment of advanced AI systems that elevate supply chain performance and Keep People Moving
Job Summary
Shape the enterprise AI strategy, define the technical vision, and lead the deployment of advanced AI systems that elevate supply chain performance and Keep People Moving.
Own the end‑to‑end lifecycle for AI initiatives—from Agentic AI systems to classical ML—including data ingestion, feature engineering, model development, evaluation, and production deployment.
This is an opportunity to join a company deeply investing in modern data foundations, committed to enterprise guidelines that keep us at the forefront of AI innovation in MedTech.
Matching Summary
Shape the enterprise AI strategy, define the technical vision, and lead the deployment of advanced AI systems that elevate supply chain performance and Keep People Moving.
Skills & Requirements
Must-have
Enterprise AI strategy
AI lifecycle management
MLOps and LLMOps frameworks
Python and SQL expertise
Azure AI/ML services
Agentic AI workflows
Nice-to-have
Supply chain process knowledge
MedTech or regulated industries
Infrastructure-as-Code experience
Publications in AI conferences
Key Requirements
6+ years of progressive experience in AI/ML, data science, or analytics
Master’s Degree or PhD in Computer Science, Engineering, Applied Mathematics, or related quantitative field