AI (artificial intelligence) Developer - Hybrid
Company Description
ISAAC partners with North American fleets to provide a user-friendly solution that simplifies trucking. Focused 100% on the trucking industry, we help carriers overcome challenges, while boosting driver happiness. With proven system reliability and system integration capabilities driven by our open platform, our solution helps your drivers and back-office team work smoothly.
For more information, visit www.isaacinstruments.com.
Join our team of tech pioneers and build the future of the trucking industry. Don’t hesitate to reach out and learn more about working with our enthusiastic team.
Job Description
As an Artificial Intelligence Solution Developer, you design and implement AI solutions aligned with business needs and ISAAC’s strategic direction. You work across the full solution lifecycle, from needs analysis to deployment and evolution, in close collaboration with product, BI, data science and DevOps teams. You contribute to the quality, integration and security of our solutions through a collaborative and ethical approach that supports innovation and continuous improvement.
Success in this role is measured by the robustness, reproducibility and performance of solutions in production, their compliance with security and ethical requirements, and the value they bring to business needs.
Responsibilities
- Translate business needs into functional and technical requirements for AI solutions
- Collaborate with product, BI and data science teams to clarify use cases and define success indicators
- Design the logical architecture of AI solutions (models, services, integrations)
- Assess technical feasibility and propose appropriate approaches
- Contribute to the technical framing of prototypes according to the intended uses
- Convert exploratory prototypes into robust, repeatable machine learning pipelines ready for production
- Develop APIs and services to expose AI models in production
- Collaborate with DevOps teams to ensure solution integration and deployment
- Implement AI model governance (registry, promotion, traceability) and automate MLOps
- Ensure the robustness, traceability, security, compliance and stability of deployed solutions
- Document the technical choices, assumptions, limitations and quality criteria of solutions
- Support the maintenance and continuous evolution of solutions with stakeholders
- Track AI trends and integrate relevant open-source libraries and tools
- Make AI concepts accessible and share knowledge with stakeholders
- Evolve development practices to increase the efficiency and value of solutions
- Align with ISAAC’s objectives and foster a climate of inclusion, feedback and recognition by embodying its values.
Qualifications
- Bachelor’s degree in computer science, artificial intelligence, software engineering, data science or a related field
- 5 to 8 years of experience developing artificial intelligence or machine learning solutions, including design, model training and validation, deployment, monitoring and governance
- Python, TensorFlow, PyTorch and other machine learning frameworks
- Backend development, preferably for ML services (FastAPI or equivalent, API creation)
- Fluency in French and English, both oral and written (multilingual internal clientele with no duplication of roles).
Assets:
- In-depth knowledge of the road transport sector and its specific challenges
- Experience deploying containerized services (Docker, image management and container runtime).
Additional Information
Collaborators are at the center of ISAAC’s interests and values. This explains the numerous benefits of working at ISAAC, namely:
- varied career opportunities
- a stimulating work environment focused on innovation
- enthusiastic and collaborative teams
- competitive salaries and benefits promoting work-life balance: a complete group insurance plan, group RRSP, an EAP, flexible hours, 4 weeks of vacation, etc.
- various social activities and free snacks and coffee every day.
