Senior Machine Learning Engineer, Digital Twin Platform
Core
Build real-time machine learning models to understand, observe, and predict inventory levels and in-store stocking dynamics across thousands of retail locations.
Role type
Senior Machine Learning Engineer (Production Systems)
Builds
Digital Twin Platform for real-time shelf intelligence and inventory estimation
Domain
Grocery retail, supply chain, e-commerce
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch/scikit-learn, large-scale data pipelines, cloud infrastructure (AWS/GCP/Azure), ML platform tooling
Preferred skills
computer vision, inventory forecasting, demand sensing, real-time inference systems, retail/supply chain domain knowledge
Technologies
Python, TensorFlow, PyTorch, scikit-learn, AWS, GCP, Azure
Responsibilities
Design, develop, and deploy ML models for real-time inventory understanding; Own the full ML lifecycle from problem framing to production deployment; Collaborate cross-functionally with software engineers and data scientists; Contribute to core infrastructure for data ingestion and observation collection; Define technical direction for the modeling practice
Seniority
Senior, hands-on IC
