AI & Computer Vision Engineer (Production ML)

R Systems; Vancouver; On-site; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Frequent Hackathons

Cultural Celebrations

Diverse Project Exposure

Centre of Excellence (COE)

E-Learning Platform

Open Door Policy

Job summary

R Systems is a leading digital product engineering company. We are seeking an AI Engineer to design, develop, and deploy AI and computer vision solutions. You will work on image and video processing, model training, and optimization, collaborating with cross-functional teams to deliver scalable AI products.

You will use PyTorch/TensorFlow, OpenCV, and related ML tools while optimizing models for production use and cloud deployment. A strong background in CV/ML and Python is essential for success.

Qualifications

• Strong AI/ML and Computer Vision experience.
• Proficient in Python and ML frameworks (PyTorch/TensorFlow).
• Experience with image/video processing and CNNs/ViTs.

Responsibilities

• Design, develop, train, and deploy CV/ML models.
• Work on image/video processing, object detection, classification, segmentation, and feature extraction.
• Develop using PyTorch or TensorFlow and modern vision models.
• Optimize models for accuracy, latency, and scalability.
• Integrate CV/AI services into production applications.
• Collaborate with data scientists, engineers, and product teams.

Skills

AI/ML expertise

Python programming

Data science

Model deployment

ML model evaluation

Collaboration

Education

Bachelor's or Master's in CS/AI/ML/Engineering

Tools

PyTorch

TensorFlow

OpenCV

YOLO

CNNs/ViTs

NumPy

Pandas

Scikit-learn

Docker

Git

CI/CD

AWS/Azure/GCP

Job description

R Systems is a leading digital product engineering company. We are seeking an AI Engineer to design, develop, and deploy AI and computer vision solutions. You will work on image and video processing, model training, and optimization, collaborating with cross-functional teams to deliver scalable AI products.

You will use PyTorch/TensorFlow, OpenCV, and related ML tools while optimizing models for production use and cloud deployment. A strong background in CV/ML and Python is essential for success.