AI Engineer

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 Familiarity with front-end or full-stack technologies is a plus Why You'll Love Working Here YuJa is a multiple-time honoree on Forbes’ list of Best Start-Up Employers in America. We offer a competitive compensation package that includes a base salary of $90,000 to $100,000 (We are looking for top performers based on work experience and academic performance. For the right candidate, we will beat any contending offer you have or offer a “name your salary” opportunity for star candidates), and comprehensive benefits and engagement opportunities. Comprehensive Benefits: Health, vision, and dental benefits, 100% employer-paid Additional benefits include RRSP, gym subsidies, and more Work-life balance including flexible work hours Paid sick days Team Engagement: Fun activities and celebrations, including Canada Day Trip, Saint Patrick's Day Party, Halloween Costume Contests, Holiday Dinner Party, and more Office perks including company-provided snacks, drinks and events Employee recognition programs, such as gift cards and “Employee of the Week” rewards Professional growth including continuous learning opportunities and reimbursements to support personal and professional development Hands-on experience working with senior-level business leaders Schedule This is an office-based role with standard hours from Monday to Friday. How to Apply This job is exclusively directed towards candidates already in Canada. You may apply directly online via this site by submitting your resume and academic transcripts. Equal Opportunity Employer & Accommodations YuJa is an equal opportunity employer and values diversity at our company. We are committed to fostering an inclusive and accessible recruitment process and work environment. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. If you require reasonable accommodation at any stage of the recruitment process, please let us know. You may indicate your accommodation needs by contacting us directly at careers@yuja.com. We will work with you to provide appropriate accommodations to support your participation in the hiring process. All accommodation requests will be handled confidentially.

Design, develop, and deploy machine learning and deep learning models while collaborating with cross-functional teams to integrate AI into customer-facing applications. You will also optimize model performance, maintain data pipelines, and contribute to overall system design.

Candidates should have 2-3 years of experience in AI/ML Engineering or Applied Data Science with proficiency in Python and relevant frameworks. A strong understanding of machine learning fundamentals and experience with cloud infrastructure are required.

• Health insurance • Vision insurance • Dental insurance • RRSP • Gym subsidies • Paid sick days • Professional development • Company snacks and drinks

• Microsoft AzureSouhaitée
• Apprentissage automatiqueSouhaitée
• Amazon Web ServicesSouhaitée
• Google CloudSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• PyTorch
• NumPy
• SciPy
• Scikit-learn
• OpenCV
• Machine learning
• Deep learning
• Cloud infrastructure
• AWS
• GCP
• Azure
• LangChain
• Vector databases
• Pinecone
• PineCone
• Continuous Development
• Full Stack Development
• Pipelines
• Vector Database
• Research
• Artificial Intelligence
• Amazon Web Services
• Microsoft Azure
• Cloud Infrastructure
• Code Review
• Learning Management Systems
• Data Collection
• Governance
• Higher Education
• Scalability
• Innovation
• Python (Programming Language)
• Machine Learning
• NumPy (Python Package)
• Performance Improvement
• Product Design
• Systems Design
• Front End (Software Engineering)
• Data Science
• Deep Learning
• Quantization
• Scikit-Learn (Python Package)
• PyTorch (Machine Learning Library)
• Artificial Intelligence Infrastructure

• Technology
• Software
• Data & Analytics
• Engineering
• Education
• Artificial Intelligence Engineer
• Artificial Intelligence Engineer (General)
• Software Developers

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine