Sr ML Engineer
Job in
Winnipeg, Manitoba, Canada
Listing for:
GSI Electronics Inc
Full Time
position
Listed on 2025-12-31
Job specializations:
-
IT/Tech
AI Engineer, Systems Engineer, Machine Learning/ ML Engineer, Robotics
-
Engineering
AI Engineer, Systems Engineer, Robotics
Job Description & How to Apply Below
Solutions for Every Season We engineer and deliver precision ag hardware, software, and cloud-based platforms that connect every corner of the farm.
You’ll be expected to take ownership of high-level application goals and drive them from concept to deployment. That includes working closely with cross-functional teams to define problems, shape data strategies, and ensure solutions are robust, scalable, and production-ready.
Your Impact
Design, develop, and deploy computer vision and perception models for real-time operation on autonomous agricultural machines.Own the full ML lifecycle from dataset design and data collection to training, evaluation, optimization, and deployment. Architect and implement scalable ML infrastructure for embedded systems, including tools for validation, monitoring, and continuous improvement.Collaborate with robotics, embedded, perception and systems engineering teams to integrate ML solutions into production environments. Prototype and validate new approaches using real-world and synthetic data to improve detection, segmentation, and scene understanding under challenging conditions (e.g., dust, occlusion, lighting).Continuously evaluate model performance in the field and iterate to improve robustness across diverse crops, terrains, and climates.Foster a collaborative team environment by mentoring junior engineers, sharing knowledge, and helping grow internal ML capabilities. Contribute to building a high-performing team by identifying talent needs, supporting onboarding, and cultivating a culture of technical excellence.Your Experience and Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.6+ years of experience developing and deploying ML models, with a focus on computer vision and embedded systems. Proven ability to lead technical direction and architecture for ML systems. especially in resource-constrained environments.Strong experience with ML Ops practices and infrastructure development.Hands-on experience with GPU-based computing and embedded deployment (Jetson or similar).Strong interpersonal skills and a collaborative mindset.Your Benefits
3 weeks’ vacation per yearEmployee stock purchase planGroup insurance paid at 75% by the employer.Group RRSP with employer contribution.24/7 online telemedicine and mental health platform for you and your family membersYour Workplace
You will work with your wonderful PTx colleagues from Winnipeg, CA (Hybrid)
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.
Join us as we bring agriculture into the future and apply now!
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