AI Engineer Logistics Machine Learning
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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
- Strong 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.