VISION LANGUAGE MODEL / COMPUTER VISION ENGINEER (CO-OP)

Job Description Job Title: Vision Language Model / Computer Vision Engineer (Co-op) Requisition ID: 31467 Location: Saskatoon, SK, CAN, S7K 5R6
| Calgary, AB, CAN, T2J 7E8
Workplace Type: On-Site Experience Level: Internship Job Type: Student

Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each day. We're guided by our culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with excellence.

Through the collective expertise of our nearly 26,000 employees, we operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs and strive to provide a more profitable, sustainable, and secure future for all stakeholders. Help us raise the expectation of what an agriculture company can be and grow your career with Nutrien.

As a Vision Language Model (VLM)/Computer Vision Engineer Intern, you will contribute to the design, development, and deployment of local, edge-hosted language and vision models within an internet-isolated Operational Technology (OT) environment. This role focuses on integrating Retrieval-Augmented Generation (RAG) systems, Vision Language Models (VLMs), and intelligent agents to enhance decision-making, process monitoring, and operational insights.
This Co-op is a 1 year term starting in September.

• Researching, selecting, and configuring publicly available large language and vision models for OT-specific use cases
• Developing specialized agents to perform tasks such as sensor data analysis, process monitoring, insight generation, and optimization
• Implementing lightweight vision models for technical document processing, summarization, and visual data interpretation
• Ensuring models are optimized for edge deployment in resource-constrained environments

• Currently pursuing an undergraduate or graduate degree in Engineering, Computer Science, Physics, or Mathematics
• Demonstrated experience with deploying self-hosted language/vision models and building AI-enabled applications
• Proficiency in Python programming with strong familiarity in Unix/Linux system administration
• Knowledge of edge AI deployment strategies, model optimization, and integration in isolated networks
• Ability to work collaboratively with multidisciplinary teams and adapt to evolving technology landscapes