ML Vision Engineer

Lead the machine learning engineering team at Shopic, a computer vision startup building AI-powered smart carts for retail. The role involves guiding ML model development and deployment for real-time product recognition in physical stores.

This role develops and deploys AI models for computer vision solutions targeting retail loss prevention and operational efficiency. The engineer will work with Python, deep learning frameworks, and large-scale video data to build and productionize models.

Develops and optimizes machine learning models for EDITED's retail analytics platform, focusing on algorithm performance and scalability. Works in a fast-paced environment to enhance the platform's capabilities.

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.

This role designs and implements asset protection solutions for retail clients using RetailNext's analytics platform. It combines technical expertise in security and loss prevention with sales support and solution architecture responsibilities, requiring collaboration with sales teams to tailor solutions to client needs.

Sie treiben Sales und Account Management für Retail-Analytics-Lösungen im deutschen Markt voran. Der Fokus liegt auf dem Aufbau von Kundenbeziehungen und der Geschäftserweiterung.