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 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. - Continuously improve model performance, accuracy, and robustness in real-world environments. - Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate. - Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows. Requirements - 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding. - Strong proficiency in Python for machine learning and data processing. - Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem. - Experience with computer vision tooling such as OpenCV. - Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas. - Experience developing models for tasks such as segmentation, object detection, or document analysis. - Experience working with large image datasets and building training pipelines. - Solid understanding of model evaluation, data preprocessing, and performance optimization. - Strong problem-solving skills and ability to work in a fast-paced product environment. - Ability to collaborate effectively with cross-functional engineering and product teams. - The candidate should be based in Australia - Willing to work remotely full-time - Work schedule is Mon to Fri, 9:00 AM to 5:00 PM AEST Preferred Qualifications - Experience with TensorFlow or other deep learning frameworks. - Experience working with OCR pipelines or document analysis systems. - Experience deploying machine learning models in production environments. - Experience with containerized deployments such as Docker or Kubernetes. - Experience working with complex technical documents, diagrams, or structured visual data. - Familiarity with spatial or geometry-related data problems. - Experience with libraries such as Detectron2, MMDetection, or similar. - Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling). - Contributions to open-source ML or computer vision projects are a plus. Additional Information - The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions. - Candidates are required to include link to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built. Benefits - Flexible remote work opportunities with career development opportunities - Engagement with a supportive and collaborative global team - Competitive market based salary

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 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. - Continuously improve model performance, accuracy, and robustness in real-world environments. - Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate. - Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows. Requirements - 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding. - Strong proficiency in Python for machine learning and data processing. - Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem. - Experience with computer vision tooling such as OpenCV. - Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas. - Experience developing models for tasks such as segmentation, object detection, or document analysis. - Experience working with large image datasets and building training pipelines. - Solid understanding of model evaluation, data preprocessing, and performance optimization. - Strong problem-solving skills and ability to work in a fast-paced product environment. - Ability to collaborate effectively with cross-functional engineering and product teams. - The candidate should be based in India - Willing to work remotely full-time - Work schedule is Mon to Fri, 3:30am to 12:30pm IST Preferred Qualifications - Experience with TensorFlow or other deep learning frameworks. - Experience working with OCR pipelines or document analysis systems. - Experience deploying machine learning models in production environments. - Experience with containerized deployments such as Docker or Kubernetes. - Experience working with complex technical documents, diagrams, or structured visual data. - Familiarity with spatial or geometry-related data problems. - Experience with libraries such as Detectron2, MMDetection, or similar. - Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling). - Contributions to open-source ML or computer vision projects are a plus. Additional Information - The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions. - Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built. Benefits - Flexible remote work opportunities with career development opportunities - Engagement with a supportive and collaborative global team - Competitive market based salary

We are seeking reliable and detail-oriented Computer Operators to join our remote team. In this role, you will be responsible for monitoring computer systems, managing routine operations, and ensuring the smooth and efficient functioning of IT processes. You will play a key role in maintaining system performance, handling scheduled tasks, and responding to operational issues. Key Responsibilities System Monitoring & Operations * Monitor computer systems, servers, and applications to ensure optimal performance. * Execute scheduled jobs, batch processing, and system tasks. * Identify and respond to system alerts, errors, and performance issues. Data Management & Processing * Manage data input, processing, and output operations. * Verify data accuracy and integrity across systems. * Maintain logs and records of system activities and processes. Incident Handling & Support * Troubleshoot basic system and operational issues. * Escalate complex technical problems to appropriate IT teams. * Provide timely updates on system status and incident resolution. Documentation & Compliance * Maintain accurate documentation of processes, procedures, and system activities. * Ensure compliance with company policies, security standards, and operational guidelines. * Follow standard operating procedures (SOPs) for all tasks. Required Qualifications * High school diploma or equivalent (Associate's degree in IT or related field preferred) * 1–3 years of experience in computer operations, IT support, or data processing * Basic understanding of computer systems, networks, and operating systems * Familiarity with monitoring tools and office software * Strong attention to detail and organizational skills * Ability to follow instructions and work independently in a remote environment * Good communication and problem-solving skills Preferred Qualifications * Experience with batch processing systems or enterprise environments * Familiarity with Linux, Windows Server, or cloud-based systems * Basic scripting knowledge (e.g., Shell, PowerShell) is a plus * Experience working in 24/7 operations or shift-based environments Compensation & Benefits * Flexible remote work environment * Paid training and onboarding support * Opportunity to gain hands-on experience in IT operations * Career growth and advancement opportunities * Supportive and collaborative team culture Additional Requirements * Must be physically located within the United States * Must have a valid U.S. work permit (no sponsorship provided) * Ability to work flexible shifts, including nights, weekends, or holidays as needed * Reliable internet connection and a dedicated workspace

Role Description We are looking for a qualified Computer Technician to install, maintain and repair computers and networks. You will be the one to ensure that adequate IT infrastructure is in place and is used to its maximum capabilities. As a Computer Technician, you must be well-versed in computer systems and network functions. The ideal candidate will be able to work diligently and accurately and will possess a great problem-solving ability in order to fix issues and ensure functionality. The goal is to install and maintain high-quality networks and computer systems. - Set up hardware and install and configure software and drivers. - Maintain and repair technological equipment (e.g. routers) or peripheral devices. - Install well-functioning LAN/WAN and other networks and manage components (servers, IPs etc.). - Manage security options and software in computers and networks to maintain privacy and protection from attacks. - Perform regular upgrades to ensure systems remain updated. - Troubleshoot system failures or bugs and provide solutions to restore functionality. - Arrange maintenance sessions to discover and mend inefficiencies. - Keep records of repairs and fixes for future reference. - Offer timely technical support and teach users how to utilize computers correctly. Qualifications - Proven experience as a Computer Technician or similar role. - Experience with LAN/WAN networks. - Thorough knowledge of computer systems and IT components. - Good knowledge of internet security and data privacy principles. - Excellent troubleshooting skills. - Very good communication abilities. - Exceptional organizing and time-management skills. - BSc/BA in Computer Science, engineering or a relevant field. - Relevant certifications (e.g. CompTIA A+) will be an advantage. Requirements - All providers must go through a third-party background check only after you are confirmed for a job. - Each provider will go through etiquette training to ensure that every provider is a friendly and well-mannered individual. Benefits - Be your own boss by choosing the TASKS that best suit your schedules and be available to work when you want to work. - Build your income to help increase your revenue. - Book tasks that are within a 15-mile radius. - Clients will have a choice to give the providers reviews and star ratings to ensure our elite services when booking on our app.