Job Description

This role is part of our Automated Vision Systems product line.

For more information about our product line:

https://www.pavemetrics.com/



Within a multidisciplinary Agile team, the ML/AI Developer is responsible for the production deployment, maintenance, and operationalization of artificial intelligence models used in our cutting-edge 3D vision solutions. The role focuses on integrating models into hybrid environments (cloud and embedded devices), building robust pipelines, and automating the complete lifecycle of machine learning models.



Be a part of something bigger.

At Eddyfi Technologies, we're proud to push the boundaries of innovation to support the industries the world depends on every day. From energy and transportation to infrastructure and beyond, our technologies help protect critical assets, safeguard the environment, and ultimately, save lives.

As a world-renowned company, we're behind some of the most advanced systems in the world--delivering cutting-edge solutions through ET & UT, Remote Monitoring, Nuclear Steam Generators, Automated Vision Systems, and Robotics. And we're just getting started.

If you're passionate about technology and want your work to make a real impact, we'd love to hear from you.



Our values

We are customer-centric We innovate with a purpose We are results-oriented We are team players

Joining our team means:

Collaborating with experts dedicated to innovation and excellence in a dynamic environment. Becoming part of an organization that values commitment, initiative, and collaboration to help achieve common goals. Joining a rapidly expanding company offering long-term development and success opportunities. Contributing to meaningful projects that create a lasting impact.

As a MLOps Developer, you must be able to:

Contribute to the team's DevOps practices, including continuous integration, continuous deployment, and the automation of environments and ML pipelines; Manage the full lifecycle of machine learning models using DevOps tools and practices adapted to ML (versioning, packaging, deployment, monitoring); Integrate models developed by the data science team into production environments (cloud and embedded); Design, deploy, and maintain containerized inference pipelines (Docker, Kubernetes) and access APIs (FastAPI); Implement automated retraining workflows, including data collection, annotation/labeling pipelines, and performance regression testing; Ensure monitoring, reliability, and performance tracking of models in production; Collaborate closely with software developers and data scientists within an Agile framework.

What makes you an asset to our team:

3+ years of relevant experience in MLOps, ML engineering, or AI-related software development; Strong DevOps fundamentals, including CI/CD, automation, and containerized environment management; Excellent proficiency in Python within a structured software development context; Hands-on experience with Docker, Kubernetes, CI/CD, and operationalizing ML models; Knowledge of APIs (FastAPI) and hybrid environments (cloud and embedded); Ability to debug, optimize, and ensure the quality of ML pipelines; Strong collaboration skills, technical rigor, and an analytical mindset; Knowledge of C++ (interoperability) is an asset; Experience with GPU/CPU optimization or deployment on embedded platforms is an asset; Familiarity with ML-specific monitoring tools is an asset; Bachelor's degree in Computer Engineering, Software Engineering, Computer Science, or equivalent.

If you have transferable skills, even if you don't meet all the criteria, feel free to submit your application!



At Eddyfi Technologies, diversity enriches our culture and drives innovation. We value an inclusive environment and welcome applications from all backgrounds. Joining Eddyfi Technologies means becoming part of a team that celebrates diversity and builds a better future.



All positions based in Quebec require proficiency in French, both written and spoken. Additionally, functional skills in English are required to meet the needs of our offices and clients internationally. For all our offices worldwide, certain positions may be subject to background checks, including credit, criminal, and employment history verification.