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...

The process for this role if you are selected 
 
1. 20 min - Initial introductory call with a person from our technical team.
2. 90 min - In-person interview at our office
3. Offer presentation
 
Only considered candidates will be contacted. Read our full hiring process here.