# AP - Machine Learning Engineer

> D2B · Philippines (Remote) · Full-time · Posted 2026-07-14

**Workplace:** remote

**Department:** Active Pooling - Sourcing

## Description

_**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

-   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

-   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

## Apply

[Apply at D2B](https://apply.workable.com/d2b-1/j/DD3FB4386D/apply)

---
Powered by [Workable](https://www.workable.com)