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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, New Zealand, Canada, and the US.
Job Overview
We are seeking a highly skilled Data Scientist / ML Engineer across levels with a strong background in Natural Language Processing (NLP) and Computer Vision. The ideal candidate should have 4+ years of experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vision-Language Models (VLMs), and segmentation techniques. You will work closely with our product and engineering teams to develop and deploy AI-driven solutions that enhance our property-tech ecosystem.
Key Responsibilities
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, New Zealand, Canada, and the US.
Job Overview
We are seeking a highly skilled Data Scientist / ML Engineer across levels with a strong background in Natural Language Processing (NLP) and Computer Vision. The ideal candidate should have 4+ years of experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vision-Language Models (VLMs), and segmentation techniques. You will work closely with our product and engineering teams to develop and deploy AI-driven solutions that enhance our property-tech ecosystem.
Key Responsibilities
- Design, develop, and deploy machine learning models focused on NLP and Computer Vision for property-related applications.
- Implement and fine-tune LLMs for tasks such as document processing, chatbot automation, and property insights.
- Build and optimize RAG pipelines to improve the accuracy and relevance of information retrieval in real estate data.
- Develop computer vision models for segmentation, object detection, and VLM applications to enhance image and video analysis.
- Work with structured and unstructured real estate data, including property listings, legal documents, and geospatial data.
- Collaborate with cross-functional teams to integrate AI models into scalable production systems.
- Stay up to date with the latest advancements in AI research and apply best practices to solve real-world challenges.
- Optimize models for performance, efficiency, and deployment in cloud and edge environments.
- 5+ years of hands-on experience in building and deploying ML models in NLP (LLMs, RAGs) and Computer Vision (segmentation, Vision Language Models).
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Hugging Face, and OpenCV.
- Experience working with vector databases, embedding models, and information retrieval techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
- Solid understanding of data preprocessing, model evaluation, and performance optimization techniques.
- Experience with multimodal AI models and working with large-scale datasets.
- Strong problem-solving skills and ability to work in a fast-paced, dynamic environment.
- Excellent communication skills and a passion for leveraging AI to transform the property-tech industry.
- Experience in deploying models using containerization (Docker, Kubernetes) and microservices architectures.
- Familiarity with GIS data processing and spatial analytics.
- Contributions to open-source AI/ML projects or research publications in NLP/Computer Vision.
- Flexible remote work opportunities with career development opportunities
- Engagement with a supportive and collaborative global team
- Competitive market based salary
Key Skills
Ranked by relevance
ai
computer vision
cloud
natural language processing
containerization
machine learning
microservices
kubernetes
tensorflow
pytorch
python
docker
mlops
saas
aws
gcp
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- Posted
- May 06, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Australia
- Company
- Canibuild
Industries
Construction
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-06-23
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