About Us
Canibuild automates the residential construction industry’s design, approval, and sales processes, allowing clients to answer 'Can I build this on this plot of land?' instantly. As a fast-growing SaaS platform backed by Australia’s largest hedge fund, we serve clients across Australia, Recent Zealand, Canada, and the US.
Job Overview
We are looking for a Machine Learning Engineer with strong experience in Computer Vision and document understanding to help build AI-driven capabilities within our property technology platform.
The role focuses on developing models that analyze visual and document-based data to extract structured information and support automated decision-making within our products.
You will work closely with product and engineering teams to design, build, and deploy machine learning solutions that operate reliably in production environments.
We are particularly interested in engineers who have taken machine learning systems from experimentation to production and are comfortable solving messy real-world data problems.
Key Responsibilities
- Design, develop,



and deploy computer vision and machine learning models for analyzing visual and document-based data.
- Build pipelines that convert unstructured visual inputs into structured and usable information.
- Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
- Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
- Work with large datasets and build efficient training and evaluation pipelines.
- Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
- Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
- Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
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📌 Machine Learning Engineer (India)
🏢 canibuild
📍 India