Sr. AI/Machine Learning Engineer - Supply Chain

8+ years of experience in applied data science or machine learning. Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or a related technical field. Expertise in statistical modeling or machine learning, including time series forecasting, optimization, and anomaly detection. Strong coding skills in Python and fluency in SQL. Experience developing and deploying production ML systems. Familiarity with MLOps practices. Demonstrated track record building real-time inference pipelines. Familiarity with data visualization tools (e.g., Tableau, Power BI). Familiarity with cloud platforms (e.g., AWS, GCP, or Azure). Exceptional problem-solving, critical thinking, and communication abilities.

Define end-to-end AI transformation roadmap for supply chain. Own design, training, validation, and deployment of ML models. Build predictive models for demand, lead times, and cellular spend. Create novel features and build data pipelines. Deliver production-grade code for batch and real-time inference. Act as AI liaison to Product, Engineering, Procurement, and Finance. Drive enhancements to data infrastructure and analytics platform. Mentor junior scientists. Act as key scientific voice in roadmap planning. Identify and lead initiatives to close gaps in data, tools, and processes. Establish governance frameworks, documentation standards, and quality controls. Partner with Ops management to drive adoption of AI tools. Hire, develop, and lead a high-performing team. Champion Samsara's cultural principles.