About R Systems:

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.

We Are Great Place to Work® Certified™ in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]!

We are recognized as one of the Best Tech Brands 2024 by theTimes Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.

Company Link: R Systems | Digital Product Engineering

Position Overview

As an AI Engineer at R Systems, you will play a key role in designing, developing, and deploying AI and Computer Vision solutions. You will work on building and optimizing machine learning and deep learning models for image and video-based applications, collaborate with cross-functional teams, and help deliver scalable, production-ready AI solutions.

Key Responsibilities

- Design, develop, train, and deploy Computer Vision and Machine Learning models.
- Work on image and video processing, object detection, image classification, segmentation, and feature extraction.
- Develop solutions using deep learning frameworks such as PyTorch or TensorFlow.
- Work with architectures such as CNNs, YOLO, Vision Transformers (ViT), and other modern vision models.
- Perform data preparation, annotation, augmentation, model training, validation, and performance optimization.
- Fine-tune and optimize pre-trained models for specific business use cases.




- Develop and integrate Computer Vision APIs and AI services into production applications.
- Work with Python and relevant AI/ML libraries such as OpenCV, NumPy, Pandas, Scikit-learn, etc.
- Optimize models for accuracy, latency, scalability, and resource utilization.
- Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product teams.
- Deploy models using cloud platforms and/or containerized environments.
- Monitor model performance and continuously improve production models.

Required Skills

- Strong experience in Artificial Intelligence / Machine Learning and Computer Vision.
- Strong programming skills in Python.
- Hands-on experience with PyTorch and/or TensorFlow.
- Strong knowledge of OpenCV and image/video processing.
- Experience with Object Detection, Image Classification, Image Segmentation, OCR, and/or Facial/Visual Recognition.
- Experience with YOLO, CNNs, Transformers/ViTs or similar computer vision architectures.
- Strong understanding of Deep Learning, Neural Networks, and ML algorithms.
- Experience with model training, fine-tuning, evaluation, and optimization.
- Experience working with REST APIs, Git, Docker, and CI/CD practices.
- Understanding of cloud platforms such as AWS, Azure, or GCP.

Preferred Qualifications

- Experience deploying Computer Vision models in production environments.
- Experience with GPU/CUDA optimization and inference acceleration.
- Experience with LLMs,



Multimodal AI, or Vision-Language Models (VLMs).
- Experience with MLOps tools and model monitoring.
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Engineering, or a related field.

Why Join R Systems?

- Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
- Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
- Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
- Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
- E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
- Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a cooperative work setting.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!

R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.

📌 Artificial Intelligence Engineer (Vancouver)
🏢 R Systems
📍 Vancouver