Our Client Currently looking for Forward Deployed AI Engineer
What you will do :
Responsibilities :
This role operates with the intensity and ownership of a founder in the field :
– Own end-to-end delivery of high-stakes deployments in operational environments
– Design and implement a centralized Ontology that integrates disparate data sources, analytics and AI models into Avathon’s Computational Knowledge Graph (Neon-CKG). The CKG platform unifies data, constraints, and decisioning, performing continuous computation across physical networks
– Replace static planning workflows with real-time, autonomous execution applications
– Build AI/ ML driven logistics optimization and predictive ETA models work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions
– Push systems into production that directly control and influence real-world operations
– Tune our standard predictive and optimization AI/ML models
– Rapid prototyping & productionisation by utilizing AI platforms to architect and deploy solutions moving quickly from PoC to production grade system.
Skills :
– Bachelor’s degree in Computer Science, Engineering, Logistics, Supply Chain Management, or a related field. Masters/ MBA is a plus
– 4+ years in developing ML models within the Transportation and Logistics solutions
– Experience with AI/ML-driven logistics optimization and predictive ETA solutions. Experience with agentic AI or autonomous logistics workflows
– Experience with carrier management, load optimization (FTL/LTL), and freight audit
– Knowledge of real-time visibility platforms and IoT integration
– Experience of Logistics Planning, Transportation Management (TMS), Freight Optimization, Route Planning, or Warehouse Management (WMS)
– Knowledge of EDI, API, agents standards and logistics data exchange (EDI 204, 214, 990, 997, etc.).
– Understanding of shipment lifecycle management (booking, tendering, tracking, POD, freight audit)
– Experience with logistics/transportation software (Oracle TMS, SAP TM, Blue Yonder, project44, FourKites, or similar). Knowledge of multimodal transportation (road, rail, ocean, air) and global trade management
– Experience building AI/ML applications in production. Strong foundation in machine learning, optimization, and system design
– Exceptional inferencing skills on applying necessary models in the field
– Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
– Ability to reason complex, interconnected systems (supply chains, networks, infrastructure)
– Ability to move from problem to architecture to deployment without handoffs
– Customer facing skills : great communication skills to lead discovery sessions with C-suite stakeholders, bridge gap between technical teams and translate business challenges into actionable AI systems.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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