AI Engineer for Supply Chain Data Analysis
- Develop AI and machine learning models for supply chain and logistics data analysis, forecasting, and decision support.
- Design and implement data pipelines, feature engineering, and predictive analytics models to improve supply chain performance.
- Develop optimization algorithms for logistics planning, routing, fleet management, inventory optimization, and resource allocation.
- Integrate AI models with enterprise systems and cloud-based data platforms.
- Evaluate model performance, conduct experiments, and continuously improve AI models based on operational data.
- Collaborate with domain experts, software engineers, and business stakeholders to translate operational requirements into AI-driven solutions.
- Prepare technical documentation, reports, and presentations, and contribute to scientific publications where applicable.
- Stay up to date with the latest advances in artificial intelligence, machine learning, and supply chain analytics technologies.