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Added 2 mins ago
Vice President of Customer Support
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Canada
Full-time
You'll partner directly with the CPO and sit close to Product and Engineering leadership, using support data to actively shape what gets built next - not just report on what broke.
Added 2 mins ago
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Senior AI Engineer
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Added 33 mins ago
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Added 1 hour ago
Machine Learning Engineer
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Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the…
Added 1 hour ago
Senior Cloud DevOps Engineer
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Added 1 hour ago
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Added 1 hour ago
Senior Software Engineer - Cloud Gateway
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Added 1 hour ago
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Added 1 hour ago
Sr Software Quality Engineer (AI Focused) : Toronto ON// FTP
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Role: Sr Software Quality Engineer (AI Focused)
Added 1 hour ago
Industrial Engineering Student/Co-op - Winter 2027
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Quality engineer (AEM)
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Python/Pyspark Developer
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Python Automation Engineer
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Added 2 hours ago
Structural Co-op (Winter 2027)
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Added 2 hours ago
Lead Platform Engineer (DevOps & MLOps)
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Generative AI Cloud Operations Engineer - Evinova
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Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted,…
Added 2 hours ago
Solutions Architect
Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
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Added 2 hours ago
Sr. AI Engineer
Arkhya Tech. Inc.
Canada
Full-time
Sr. AI Engineer – Vertex AI & GEAP Agent Builder with CI/CD experience (Not ML Engineers). More like Solution engineers.

AGCO

Machine Learning Engineer

Winnipeg, MB, Canada

Experience: 3+ years of experience developing, deploying, and optimizing ML models, with a focus on computer vision and embedded systems.
Posting language: English
Posted: Jun 11, 2026

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Original job description

Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the future of agriculture through autonomy. Our focus is on building physical AI systems, where machine learning models directly interact with and control real-world machines operating in complex outdoor environments.

We are seeking a Machine Learning Engineer to develop embedded perception models and the infrastructure that supports them. This role is well-suited for a technically strong, hands-on individual who excels at solving complex, real-world challenges while maintaining a system-level perspective and delivering measurable impact in the field.

In this role, you will take ownership of high-level application objectives and drive them from concept through deployment. You will work 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, including dataset design, data collection, training, evaluation, optimization, and deployment.
Build and enhance 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, validate, and continuously improve models using real-world and synthetic data to enhance detection, segmentation, and scene understanding under challenging conditions (e.g., dust, occlusion, lighting) and ensure robustness across diverse crops, terrains, and climates.

Your Experience and Qualifications

Strong fundamentals in machine learning and computer vision.
3+ years of experience developing, deploying, and optimizing ML models, with a focus on computer vision and embedded systems.
Experience with ML Ops practices and infrastructure development.

Hands-on experience with GPU-based computing and embedded deployment (e.g., Jetson or similar platforms). Proficiency with Docker and ROS2. Experience in robotics, autonomous vehicles, or real-time systems is a strong plus.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with strong interpersonal skills and a collaborative, team-oriented mindset.

Your Benefits

Three (3) weeks of vacation per year.
Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price.
Group retirement plan with employer match.
Group insurance paid at 75% by the employer.
Employee Assistance Program.

Your Workplace

You will collaborate closely with PTx colleagues in Winnipeg, Canada, in an onsite environment that supports hands-on testing, teamwork, and innovation.

We are committed to fostering an inclusive workplace and believe that diverse perspectives drive better outcomes for our customers, our communities, and our teams. Our approach to recruitment reflects that commitment by building teams that represent a broad range of experiences, backgrounds, cultures, and perspectives.

If you are contacted regarding an opportunity with us, you may request reasonable accommodation for the materials or activities used throughout the selection process.

Join us as we bring agriculture into the future and apply now!

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More about this job

Responsibilities

Design, develop, and deploy computer vision and perception models for autonomous agricultural machines. Manage the full ML lifecycle while collaborating with cross-functional teams to integrate solutions into production environments.

Requirements

Requires 3+ years of experience in ML and computer vision with a focus on embedded systems. Candidates must hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Skills

Machine Learning
Computer Vision
Embedded Systems
ML Ops
GPU Computing
Docker
ROS2
Robotics
Autonomous Vehicles
Perception Models
Data Strategy
Python
C++
System Architecture
Real-time Systems

Benefits

Vacation
Employee Stock Purchase Plan
Group retirement plan
Group insurance
Employee Assistance Program

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Embedded Systems
Precision Agriculture
Autonomous Systems
ML Ops
GPU
Docker
ROS2
Robotics
Perception
Data Collection
Model Training
Deployment
Real-time Systems
Synthetic Data
Segmentation
Scene Understanding
Cloud-based Platforms
Hardware Engineering

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