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. R Systems | Digital Product Engineering 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. 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.

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. Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product teams.



Monitor model performance and continuously improve production models.

Strong experience in Artificial Intelligence / Machine Learning and Computer Vision. Strong programming skills in Python. Strong knowledge of OpenCV and image/video processing.

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. Understanding of cloud platforms such as AWS, Azure, or GCP.

Experience deploying Computer Vision models in production environments.

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. 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.

Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment. 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. #

📌 Engineer, Technology Deployment (Vancouver)
🏢 R Systems
📍 Vancouver