V
Lead Industrial AI Engineer
Virtual Vocations Inc
1 hour ago
Full-time
On-site
East New York, New York, United States
To support the Cordant Process Optimization Product Team, the full-time Lead Industrial AI Engineer will develop machine learning and optimization solutions for industrial processes, collaborating with cross-functional teams in a remote work environment.
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
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