Founding AI Engineer

Role Overview: You will be responsible for designing and leading the architecture, training pipelines, and deployment of production-grade machine learning models that power real-world logistics operations. As the Founding AI Architect at Frontier Logistics AI Model, you will play a crucial role in building the next generation of intelligent logistics infrastructure. Key Responsibilities: - Design and implement AI/ML architectures for forecasting and logistics optimization. - Develop production-grade, real-time inference systems for large-scale data. - Build scalable training pipelines and establish MLOps workflows for retraining and monitoring. - Integrate ML models into operational systems and cloud APIs. - Define the AI/ML technical roadmap and make core architecture decisions. - Collaborate with product, engineering, and operations teams to translate business goals into AI-driven outcomes. - Mentor the AI/ML team and drive best practices in experimentation and model governance. Qualification Required: - Background in operations research, applied mathematics, or optimization. - Experience with simulation modeling, geospatial data, or network optimization. - Published research or open-source work related to forecasting, logistics, or optimization. - Strong understanding of modern ML architectures and scalable production systems.,