AI Engineer

YuJa Inc.•Toronto, ON

10d•Onsite

About The Position

At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create more inclusive, user-centric solutions. We’re looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and models. About Us YuJa, Inc. is a leading provider of cloud-based digital compliance and accessibility solutions for regulated sectors worldwide. Serving clients in higher education, K-12, government, and healthcare, YuJa enables organizations to meet evolving regulatory demands while delivering engaging, secure, and accessible digital experiences. Our platforms such as Lumina (video), Panorama (LMS accessibility), EqualGround (governance), and Verity (proctoring) are rigorously tested for compliance, audited, and secured. For over a decade, YuJa has been dedicated to building not only innovative digital compliance and accessibility solutions, but also a workplace where our people can thrive. We invest in our employees by fostering career growth, continuous learning, and opportunities for advancement. Our culture is rooted in collaboration, inclusivity, and belonging, where every team member’s contributions are valued and their voices are heard. Just as we help institutions and organizations worldwide achieve their goals, we are equally committed to supporting the success of our people and making a positive impact in the communities we serve. Meet the YuJa family here and see what makes YuJa special!

Requirements

2-3 years’ experience in AI/ML Engineering or Applied Data Science
Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV.
Experience with building, training, and deploying models in production
Strong understanding of machine learning fundamentals
Knowledge of cloud infrastructure (AWS, GCP, Azure)

Nice To Haves

Experience in LLM frameworks like LangChain and Vector databases like Pinecone is an asset
Experience working in a fast-paced environment is preferred
Familiarity with front-end or full-stack technologies is a plus

Responsibilities

Design, develop, and deploy machine learning and deep learning models
Collaborate with product, design, and engineering to integrate AI models into customer-facing applications
Conduct experiments, analyze data, and iterate models for performance improvement
Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
Stay current with the latest research and apply relevant findings to real-world problems
Build and maintain pipelines for data collection, preprocessing, training, and evaluation
Contribute to overall system design and participate in code reviews