Applied AI Scientist
Description
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...
Skills
As published by lever · 4 questions · 1 written answer
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Other relevant URL, What is your age range?, I identify my ethnicity asSelect all that apply, What gender do you identify as?
Pick from a list (3)
- Which province or territory are you located in? optional
- What's your status in Canada? optional
- What is your current level of proficiency in French?
Written answers (1)
- Have you previously interacted with someone from Osedea, or are you being referred by someone from Osedea? If yes, please specify who. optional