Build logistics AI with Python and machine learning from anywhere in North America, working remotely with approximately six-hour ET overlap. Portless is transforming e-commerce logistics through intelligent systems that automate and optimise supply-chain operations at scale. As an AI Engineer, you will design, build, and deploy systems for logistics and e-commerce use cases. The work spans LLMs, computer vision, predictive analytics, and production machine learning. You will partner with product and engineering to deliver AI-powered features. Key Responsibilities:
Build and deploy AI and machine learning models Apply LLMs, computer vision, and predictive analytics Collaborate with product and engineering teams Own data, training, evaluation, and deployment Monitor and improve production model performance Requirements:
Four-plus years of AI or machine learning engineering experience Solid Python and PyTorch or TensorFlow experience Experience deploying models into production US work authorisation without sponsorship Logistics or e-commerce experience is advantageous Apply AI engineering expertise across Python, machine learning, and production deployment to improve Portless logistics systems.