About the role
- In this role you will design and evolve algorithms for Linde's in-house AI-based plant control software, including non-linear data-based models and optimization methods
- You will contribute to core controller development with a focus on robustness, optimizer performance, and scalability for productive deployments across multiple plants worldwide
- Further, you will collaborate with process engineers and domain experts to translate plant operating knowledge into AI-driven control and optimization strategies
- You will work with developers, DevOps specialists, and engineers across the end-to-end workflow from model training and deployment to optimization and continuous improvement
- Also you support deployment and continuous improvement of AI-based optimization solutions across Linde plants using robust engineering practices