Applied AI Scientist

Role overview

As an Applied AI Scientist, you design, build, and ship AI solutions that solve real client problems. You combine strong software engineering habits with hands-on AI/ML expertise, and you’re comfortable moving from exploration to production. You collaborate closely with technical and non-technical teammates, mentor others, and help teams make sound technical decisions as we deliver enterprise-grade AI software.

The technologies below are a reference point for our stack. Above all, we hire for strong fundamentals, judgment, and growth potential.

Your key responsibilities

• Build and deploy AI solutions that deliver measurable business impact
• Identify high-value opportunities to apply AI technologies and tooling
• Develop software aligned with specifications and documentation (SRS, C4)
• Define, document, and communicate non-functional requirements (performance, reliability, security, maintainability)
• Turn experiments into production-ready components (evaluation, monitoring, iteration)
• Coach colleagues on applied AI best practices and implementation approaches
• Take initiative, own deliverables end-to-end, and manage priorities effectively
• Uphold and strengthen software development guidelines and quality standards
• Research, test, and implement new techniques, models, and tools
• Advise clients on technical direction, trade-offs, and solution design

The ideal candidate

• 5+ years of software engineering experience, including 3+ recent years working hands-on with AI/ML (Deep Learning, Computer Vision, Speech and Language Processing, Agentic AI, Predictive Models, Time Series, etc.)
• Master’s or PhD in Computer Science / Software Engineering specialized in AI, or equivalent experience
• Intermediate or conversational French (minimum)

You should be proficient with

• Python 3
• Core Python libraries (NumPy, Pandas, PyTorch, Scikit-learn)
• Data analysis, cleaning, processing, and augmentation
• Deep learning frameworks (TensorFlow, Keras, PyTorch)
• AI services on at least one major cloud platform (AWS, Azure, Google Cloud, etc.)
• MLOps (training, deployment, monitoring, reproducibility, CI/CD for ML)
• Testing practices (unit, functional, E2E, etc.)
• Modern development methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)

It’s a plus if you have experience with

• Go, Java, and/or JavaScript
• Enterprise software development
• In-memory object storage, caching, and queue systems
• Microservices and serverless architectures
• Domain-driven design
• A modern client-side framework/library (Angular, React, Svelte, etc.)

What we offer

• Competitive Salary and contribution to your pension plan (RRSP)
• Flexible hours of work and choose how you work
• Work from anywhere up to 8 weeks
• Paid sabbatical
• Wellness and productivity spending account
• Parental program
• Activities
• Training
• And more...