Senior Applied AI and Process Automation Programmer​/Engineer

Senior Applied AI and Process Automation Programmer/Engineer

Regular - Full-Time Professionals Saskatoon, SK, CA

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 Tensor Flow (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 Tensor Flow, 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…