Job Order Detail

Description

Accountabilities
Write and maintain efficient, reliable, and adaptive control algorithms for real-time process control
Develop, train, and optimize machine learning models in Python using TensorFlow libraries for industrial and process applications
Design and implement machine vision applications to support monitoring, inspection, process control, and operational improvement
Integrate machine learning, machine vision, and AI solutions with plant PLC and SCADA systems to enable real-time monitoring, automation, and decision support
Work closely with subject matter experts to process and analyze experimental data and develop simulation models of physical and chemical processes to improve process understanding, forecasting, and optimization
Support the deployment of AI and automation solutions, ensuring reliability, usability, and alignment with operational requirements
Create a testing and maintenance plan for the practical implementation of AI in a plant setting
Collaborate across multidisciplinary teams to identify high-value opportunities for advanced analytics, automation, and digital innovation within the Rare Earth Processing Facility

Qualifications
Bachelors degree in Computer Engineering, Software Engineering, Computer Science, Artificial Intelligence, Mechatronics, Chemical Engineering, or a related field
Minimum five years of relevant experience including industry, research, graduate work, or substantial independent projects demonstrating applied skills in machine learning, computer vision, automation, or industrial data analysis

The chosen candidate will also be required to provide an original Criminal Record Check that is satisfactory to SRC prior to the commencement of any employment duties. The Criminal Record Check must have been executed within the preceding 30 days of receipt.

To view the full posting, visit www.src.sk.ca/careers.