AP - Machine Learning Engineer

_Note: This is for active pooling purposes only. Submitting your application does not guarantee employment. Your details will be kept on file and considered for future opportunities as they become available._

We are seeking a dedicated and organized Machine Learning Engineer to join our team at D2B. In this remote role, you'll work closely with engineering and AI teams to design, build and deploy production-grade machine learning solutions that solve real-world construction challenges.

This is a hands-on engineering role suited to someone who enjoys taking ML models from concept through to production while working in a collaborative, remote-first environment.

Key Responsibilities:

• Design, develop, and deploy production-ready machine learning models with a strong focus on computer vision applications.
• Build AI capabilities that identify, track, and analyse construction progress from visual data.
• Research, prototype, and implement solutions using LLMs, multimodal AI models, and generative AI technologies.
• Evaluate when to leverage commercial foundation models versus developing custom machine learning solutions.
• Design, build, and maintain scalable ML pipelines covering data collection, labelling, training, evaluation, deployment, and monitoring.
• Source, clean, curate, and prepare high-quality datasets for model training.
• Develop and maintain MLOps infrastructure, including model versioning, CI/CD pipelines, deployment automation, and monitoring.
• Collaborate with Software Engineers, Product Managers, and AI specialists to integrate machine learning capabilities into production applications.
• Optimise model accuracy, inference performance, scalability, and reliability.
• Stay current with emerging machine learning techniques, AI frameworks, and industry best practices.

Requirements

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• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
• 3+ years of commercial experience as a Machine Learning Engineer or AI Engineer.
• Proven experience building and deploying production machine learning systems.
• Strong experience developing computer vision models.
• Experience with end-to-end MLOps, including:
• Data collection and labelling
• Model training and evaluation
• Pipeline development
• CI/CD automation
• Model versioning
• Monitoring and optimisation
• * Experience working with LLMs, multimodal AI models, and generative AI technologies.
• Strong Python development skills.
• Experience using deep learning frameworks such as PyTorch.
• Experience deploying scalable inference infrastructure.
• Strong understanding of the software development lifecycle.
• Excellent written and verbal English communication skills.
• Comfortable working remotely with distributed teams across New Zealand and Australia.

Highly Desirable

• Experience with TensorRT or similar inference optimisation engines.
• Experience developing Edge AI or Edge ML applications.
• Experience with .NET and C#.
• Experience working with AWS, Azure, or Google Cloud Platform.
• Experience with Docker, Kubernetes, and modern ML deployment pipelines.
• Experience working with construction technology, geospatial imaging, drone imagery, or spatial data.

Benefits

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• Competitive salary based on experience and skill set
• 100% remote role — work from home anywhere in the Philippines
• Paid local holidays aligned with the Australian business calendar
• Opportunities for training and professional growth
• Work directly with a supportive Australian team — no agency middleman
• Long-term engagement with a stable and growing business