Data Scientist – Computer

Location

: Hybrid – Quebec City or Remote (Canada)

Can-Ex Technologies is transforming how sewer and underground infrastructure inspections are conducted. Through a combination of cutting-edge hardware and powerful SaaS, we help municipalities, engineering firms, and contractors collect and manage high-quality inspection data—faster and smarter than ever before.

We’re now building the foundation of our Data Team. We’re looking for a founding Data Scientist to lead the design and deployment of machine learning models that will automatically detect defects in video and image feeds—both in the cloud and on edge devices.

As a Data Scientist, you’ll lead the development of our computer vision capabilities, from defining architectures to deploying models in production environments. Your work will help unlock automation, improve operational decisions, and bring intelligence directly into the field.

You’ll work in tight collaboration with our Data Analyst & Data Engineer, our product & engineering teams, and the GM. Together, you’ll turn raw data into a strategic asset across our platform.

This role is ideal for someone who’s both visionary and hands-on—able to design, build, and deploy robust ML systems from scratch.

What You’ll Do

Design and train deep learning models for defect detection, segmentation, and classification in sewer inspection videos

Collaborate closely with the Data Engineer and Data Analyst to ensure labelled data pipelines and feedback loops are in place

Architect and implement end-to-end ML pipelines—from data prep to production deployment

️ Deploy models in both cloud environments and constrained edge devices

Evaluate model performance, iterate quickly, and maintain version control and validation

Work with large, messy, real-world video and image data in a production context

Share insights and explain model decisions to cross-functional stakeholders

Who You Are

You love the full ML lifecycle — from idea to live production

You thrive in ambiguity and are excited to be the first ML expert on a small, high-impact team

You ’ re as comfortable discussing model architectures as you are debugging a bad frame

You take pride in creating practical, deployable models — not just notebooks

Requirements

Master’s degree (or higher) in Computer Science, Machine Learning, or a related field

4+ years of experience building and deploying ML models in production

Proficient in

Python

, TensorFlow and / or PyTorch

Experience deploying models using

GCP

, and familiarity with edge inference constraints

Comfort working with unlabeled / labeled video datasets at scale

Experience in SaaS, industrial tech, robotics, or embedded ML (strong asset)

Why Join Us?

Founding opportunity – Be the architect of our ML and computer vision stack

Impact – Your models will power in-field intelligence and in-app automation

Growth – Be part of a high-growth startup solving real-world infrastructure problems

End-to-end ownership – From labeling and training to deployment and iteration

Innovation – Work with edge computing, real-time & 360 video, and practical AI

Culture – Work in a tight-knit, ambitious, and purpose-driven team

Ready to Apply?

If you’re a driven and curious professional who wants to make an impact while growing fast, we want to hear from you.

Let’s build something great together!

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