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 predictionRoute and load optimizationYard and terminal operations automationPredictive maintenance for container fleets and equipmentDemand forecasting and capacity planningDevelop real-time analytics systems for supply chain monitoringIntegrate AI solutions with TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and IoT devicesWork with telematics, GPS, RFID, and sensor dataBuild APIs and scalable services to support operational platformsCollaborate with operations, logistics planners, and engineering teamsEnsure data security and compliance across global shipping regulationsOptimise models for production-scale performanceAbout You: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field3+ years of experience in AI/ML developmentStrong Python programming skillsExperience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)Experience working with time-series data and large operational datasetsKnowledge of optimization algorithms (linear programming, heuristic optimization)Experience with cloud platforms (AWS, Azure, or GCP)Familiarity with REST APIs and microservices architectureUnderstanding of MLOps and model deploymentYour Qualifications:Experience in logistics, shipping, freight, or container operationsFamiliarity with supply chain analytics and transportation systemsExperience with IoT data processingKnowledge of geospatial analytics (GIS tools, mapping APIs)Experience building real-time streaming systems (Kafka, Spark, etc.)Understanding of global trade operations and port logisticsExperience working in distributed, remote teamsWhat We Offer:Fully remote, flexible work environmentCompetitive salary with performance incentivesOpportunity to work on AI systems impacting global trade and logisticsAccess to large-scale operational datasetsProfessional development and industry exposureCollaborative, cross-functional international teamImpact You’ll Make:Improve container turnaround timeReduce empty container repositioning costsIncrease supply chain visibilityOptimize port and yard efficiencySupport sustainable and data-driven logistics operations

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