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Added 1 month ago
D
Financial Crime Data Scientist
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UH
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OS
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Responsable Architecte IA (Intelligence Artificielle)
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Software Development Engineer, AFT Outbound Flow
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Scientist I, Analytical Development
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Montreal, QC
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Added 1 month ago
PT
Machine Learning Engineer
PTx Trimble
Winnipeg, MB
- Full-time
Added 1 month ago
NV
Senior Data Scientist (ID#5536)
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Canada
- Contract
New Value Solutions (NVS), a national IT consulting firm, is seeking an experienced Senior Data Scientist / Predictive Analytics Lead to support a major Canadian airline on a Finance…
Added 1 month ago
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Environmental Scientist
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- $60,000 to $70,000 CAD / year
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Software Development Engineer, AFT Outbound Flow
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Senior CDR Analyst
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Halifax, NS
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Added 1 month ago
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Principal Data Scientist
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Senior AI Applied Scientist II
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Vancouver, BC
- $150,000 to $177,000 CAD / year
Added 1 month ago
Senior Quantitative Analyst
Equitable
Waterloo, ON
Added 1 month ago
Machine Learning Engineer
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Winnipeg, MB
Added 1 month ago
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AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Added 1 month ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 1 month ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 1 month ago
Vice President, Data Scientist
BMO
Toronto, ON · FCP
Added 1 month ago
CT
Senior Data Scientist
Canadian Tire Corporation
Oakville, ON
- Full-time

PTx Trimble

Machine Learning Engineer

Winnipeg, MB, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: 3+ years of experience developing, deploying, and optimizing ML models, with a focus on computer vision and embedded systems.
Posting language: English
Posted: Sep 21, 2026

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!

Apply About employer

More about this job

Responsibilities

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

Requirements

Requires 3+ years of experience in machine learning, computer vision, and embedded systems deployment. Proficiency in Docker, ROS2, and GPU-based computing is essential for this role.

Skills

Machine learning
Computer vision
Embedded systems
ML Ops
GPU computing
Docker
ROS2
Robotics
Autonomous vehicles
Perception models
Data strategy
System-level design
Python
C++
Real-time systems

Benefits

Three weeks of vacation
Employee stock purchase plan
Group retirement plan with employer match
Group insurance
Employee assistance program

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Embedded Systems
Autonomous Agriculture
Perception Models
ML Ops
GPU Computing
Docker
ROS2
Robotics
Autonomous Vehicles
Real-time Systems
Data Collection
Model Training
Model Evaluation
Precision Agriculture
Cloud-based Platforms
Synthetic Data
Scene Understanding
Segmentation
Detection
System Engineering
Production-ready
Scalability
Hardware Engineering

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