Job Title

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 datafaster and smarter than ever before. Were now building the foundation of our Data Team. Were 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 feedsboth in the cloud and on edge devices. As a Data Scientist, youll 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. Youll work in tight collaboration with our Data Analyst & Data Engineer, our product & engineering teams, and the GM. Together, youll turn raw data into a strategic asset across our platform. This role is ideal for someone whos both visionary and hands-onable to design, build, and deploy robust ML systems from scratch. What Youll 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 pipelinesfrom 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 Masters 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 youre a driven and curious professional who wants to make an impact while growing fast, we want to hear from you. Lets build something great together! Resume * I confirm that I have reviewed and agree to the Can-Ex Technologies Privacy Policy . * If you are human, leave this field blank. #J-18808-Ljbffr