Applied AI Engineer II

Develops machine learning and computer vision solutions for RetailNext's analytics platform, focusing on deep learning models and embedded hardware integration. The role involves optimizing algorithms for real-time performance on edge devices and contributing to the core sensor and analytics technology.

Develops and deploys AI models to solve business problems, focusing on machine learning, deep learning, and data processing. Requires expertise in model development and deployment.

This role prototypes, tests, and delivers internal AI applications that improve efficiency across GTM teams (Marketing, Sales, BizOps). The role combines applied AI/ML knowledge, software engineering skills, and a strong understanding of GTM workflows to deliver practical, business-impacting solutions.

Focuses on deep learning-based computer vision, including object detection and real-time video analytics. Requires hands-on experience with CNN architectures and deploying models on edge devices.

Manages post-sale relationships with retail clients, ensuring adoption, value realization, and retention of vision AI solutions. Acts as the primary point of contact for escalations and drives customer satisfaction.

Analyzes business data to generate insights on retail store performance and solution effectiveness. Supports data-driven decision-making for internal teams and customers, leveraging BI tools and analytics methodologies.

Leads complex, multi-workstream programs for large retail customers, managing execution, risk, and cross-team coordination. Drives program governance and ensures strategic outcomes are delivered on time and within scope.