7 months ago
Montréal, CanadaSenior
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, including SRS and C4.
- Define, document, and communicate non-functional requirements covering performance, reliability, security, and maintainability.
- Turn experiments into production-ready components through evaluation, monitoring, and iteration.
- Research, test, and implement new techniques, models, and tools.
- Advise clients on technical direction, trade-offs, and solution design.
- Coach colleagues on applied AI best practices and implementation approaches.
- Own deliverables end-to-end, manage priorities, and uphold software development and quality standards.
Requirements
- 5+ years of software engineering experience, including 3+ recent years of hands-on AI/ML experience.
- Master’s or PhD in Computer Science or Software Engineering specialized in AI, or equivalent experience.
- Intermediate or conversational French proficiency is required.
- Proficiency with Python, NumPy, Pandas, PyTorch, Scikit-learn, TensorFlow, Keras, data processing, deep learning, cloud AI services, MLOps, and software testing practices.
- Experience with at least one major cloud platform such as AWS, Azure, or Google Cloud.
- Preferred experience includes Go, Java, JavaScript, enterprise software development, storage and caching systems, queue systems, microservices, serverless architectures, domain-driven design, and modern client-side frameworks or libraries.
Benefits
- Competitive salary and contribution to an RRSP pension plan.
- Flexible hours and flexibility to choose how to work.
- Work from anywhere for up to eight weeks.
- Paid sabbatical.
- Wellness and productivity spending account.
- Parental program, activities, and training.
Tech Stack
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