Why SRC?

With more than 400 employees, $83 million in annual revenue and nearly 80 years of RD&D experience, the Saskatchewan Research Council (SRC) is Canada’s second largest research and technology organization with 1,400 clients in 16 countries around the world. We help clients from across the world solve technology problems, make improvements, seize opportunities, maintain competitiveness, increase productivity, and develop new markets.

Our employees make a difference. We hire people who are passionate about their work because we are passionate about making a positive impact in our province and beyond. We recognize the important value of work-life balance and our employees enjoy generous time off. SRC also offers many other benefits such as flexible retirement and savings options, insured benefits, professional development opportunities, a robust safety program, and an outstanding team environment.

Overview

The Saskatchewan Research Council’s (SRC) REE Commercial Division is seeking a Senior AI and Automation Programmer to lead the development and implementation of artificial intelligence, machine learning, machine vision, and process modeling solutions for SRC’s rare earth processing facility (REPF). This role will help move existing applications from research and prototype stages into reliable, maintainable, and safe plant use while continuing to improve the underlying models and develop new applications.

Accountabilities

Support the deployment of AI and automation solutions in a plant environment, ensuring reliability, usability, and alignment with operational requirements. Support commissioning, field testing, troubleshooting, and ongoing maintenance of deployed applications.

Refactor and document prototype code where necessary

Develop, train, and optimize machine learning models in Python using TensorFlow (or equivalent) libraries for process control Integrate AI, machine-learning, machine-vision, and process-modeling applications with approved plant data and automation systems, including sensors, data historians, PLCs, SCADA or DCS platforms, databases, cameras, and edge-computing devices. Work with operators and subject matter experts to evaluate application performance, investigate unexpected behaviour, and continuously improve deployed systems. Collaborate across multidisciplinary teams to identify high-value opportunities for advanced analytics, automation, and digital innovation within the rare earth processing facility. Maintain clear documentation and support knowledge transfer so that systems can be understood and maintained by other

Qualifications

Bachelor’s 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 Experience developing machine-learning solutions in Python using frameworks such as TensorFlow, PyTorch, scikit-learn, OpenCV, or equivalent tools Experience with process-control fundamentals, system identification, optimization, model-predictive control, or hybrid physics- and data-based models General software development skills for creation of supportive technologies, such as user interfaces and data management solutions The following is preferred but not required: Experience developing and deploying machine learning and machine vision applications in industrial or applied environments Experience integrating digital solutions with industrial control systems, including PLC and SCADA platforms Experience with Arduino, C++, PLC programming and/or LabView development Networking certifications, such as CompTIA and Cisco Experience in chemical processing, mineral processing, or other industrial facility environments Ability to interpret Piping and Instrumentation Diagrams (P&IDs)

Skills

Recognize the potential consequences of control-system changes and works within established process-safety, cybersecurity, and management-of-change requirements Strong problem-solving skills and a willingness to learn Highly motivated with a commitment to continuous learning in an innovative work environment Good communication skills and the ability to work collaboratively in a team Ability to handle multiple tasks simultaneously and meet tight deadlines

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.

This position is located in Saskatoon, Saskatchewan.

Deadline to apply is August 11, 2026.

To Apply: Please apply with your resume and cover letter via the careers section of our website www.src.sk.ca/careers.

Please indicate on your application where you heard about the position as SRC works with several partners to support an inclusive workplace that embraces diverse backgrounds. Our goal is to engage and empower all people so they can successfully achieve their professional goals.

As SRC strives to build a representative workforce, applications are encouraged from persons of Indigenous ancestry.