AI Engineer

YuJa Inc.; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

YuJa Inc. is seeking an AI Engineer to design, build, and scale AI infrastructure and models within a core engineering team. You will work with product, design, and engineering to deliver AI-powered features for regulated sectors and educational institutions.

The role emphasizes deploying models in production, optimizing performance, and staying current with the latest in ML research. Collaboration and scalable data pipelines are central to this position.

Qualifications

• 2–3 years of AI/ML engineering or applied data science experience.
• Proficiency in Python and ML frameworks (PyTorch, NumPy, SciPy, Scikit-learn, OpenCV).
• Experience building, training, and deploying models in production.
• Strong understanding of ML fundamentals.
• Knowledge of cloud infrastructure (AWS, GCP, Azure).
• Experience with LangChain and vector databases is a plus.
• Experience in a fast-paced environment is preferred.

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.

Skills

Python

PyTorch

NumPy

SciPy

Scikit-learn

OpenCV

Tools

LangChain

Pinecone

Job description

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!

About the Role

• 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

About You

• 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)
• Experience in LLM frameworks like LangChain and Vector databases like Pinecone is an asset
• Experience working in a fast-paced environment is preferred