AI Engineer: Build Real-World Data Features for Logistics
Summary
Build customer-facing AI features for logistics using 8+ years of data; focus on anomaly detection, insights, and actionable outputs rather than complex models.
McEasy is seeking an AI Engineer to turn 8+ years of logistics and IoT data into real, customer-facing intelligence. This role focuses on solving business problems using data, simple logic, and AI tools — not on building complex AI models.
You will work closely with leadership to translate ideas into features, build anomaly detection, insights, and benchmarking systems, and deliver outputs that customers can act on immediately. Collaboration with data, software, and product teams is essential.