AI Developer – Container & Logistics Industry

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.

What You Will Be Doing: 

• 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

Your Qualifications:

• 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

What We Offer:

• 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

Impact You’ll Make:

• 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