We are seeking a skilled AI Developer to help modernise and optimise operations across the container and logistics ecosystem. You will build intelligent systems that enhance container tracking, route optimization, yard operations, demand forecasting, predictive maintenance, and supply chain visibility.
This role focuses on applying AI to real-world shipping and containerized freight challenges — improving operational efficiency, reducing costs, and increasing transparency across global logistics networks.
Design and deploy AI/ML models for:
Container tracking and ETA prediction
Route and load optimization
Yard and terminal operations automation
Predictive maintenance for container fleets and equipment
Demand forecasting and capacity planning
Develop real-time analytics systems for supply chain monitoring
Integrate AI solutions with TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and IoT devices
Work with telematics, GPS, RFID, and sensor data
Build APIs and scalable services to support operational platforms
Collaborate with operations, logistics planners, and engineering teams
Ensure data security and compliance across global shipping regulations
Optimise models for production-scale performance
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
3+ years of experience in AI/ML development
Strong Python programming skills
Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience working with time-series data and large operational datasets
Knowledge of optimization algorithms (linear programming, heuristic optimization)
Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with REST APIs and microservices architecture
Understanding of MLOps and model deployment
Experience in logistics, shipping, freight, or container operations
Familiarity with supply chain analytics and transportation systems
Experience with IoT data processing
Knowledge of geospatial analytics (GIS tools, mapping APIs)
Experience building real-time streaming systems (Kafka, Spark, etc.)
Understanding of global trade operations and port logistics
Experience working in distributed, remote teams
Fully remote, flexible work environment
Competitive salary with performance incentives
Opportunity to work on AI systems impacting global trade and logistics
Access to large-scale operational datasets
Professional development and industry exposure
Collaborative, cross-functional international team
Improve container turnaround time
Reduce empty container repositioning costs
Increase supply chain visibility
Optimize port and yard efficiency
Support sustainable and data-driven logistics operations