Onsite Machine Learning Engineer at PTx
Job Description & How to Apply Below
PTx seeks an experienced Machine Learning Engineer to create embedded perception models. Your expertise will drive solutions from concept to deployment, ensuring robust and scalable integration with agricultural machinery. Collaborate with cross-functional teams to enhance applications that deliver measurable impact in real-world farming environments.
Key Responsibilities:
• Develop real-time computer vision models for autonomous machines
• Manage the complete ML lifecycle from dataset design to deployment
• Enhance ML infrastructure and tools for embedded systems
• Integrate ML solutions with robotics and engineering teams
• Improve models using real-world and synthetic data under diverse conditions
Requirements:
• Bachelor’s or Master’s in Computer Science, Engineering, or related field
• 3+ years in ML model development, focusing on computer vision
• Experience with GPU computing and embedded deployment
• Proficiency in Docker and ROS2
• Strong interpersonal and collaborative skills
Utilize your machine learning and computer vision skills to redefine agriculture with PTx in Winnipeg.
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