Lead Industrial AI Engineer

Key responsibilities: Develop machine learning and hybrid modeling solutions for industrial applications, utilizing advanced process control and optimization knowledge Evaluate model performance and integrate machine learning models with optimization workflows and industrial systems Collaborate with product managers and engineers to deliver features aligned with product roadmaps and customer needs

Required qualifications: Bachelor's or Master's degree in a relevant technical discipline such as Chemical Engineering, Data Science, or Applied Mathematics Experience in developing machine learning models for engineering or industrial applications Strong Python programming skills with experience in scientific and machine learning libraries Knowledge of process modeling and advanced process control methods Practical experience with various neural network architectures and sequence modeling approaches