AI Engineer: Build Real-World Data Features for Logistics

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.