Machine Learning Engineer

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design, develop, and deploy production-ready machine learning models, emphasizing computer vision applications.

• Create AI capabilities that can identify, track, and analyze construction progress using visual data.

• Conduct research, prototype, and implement solutions utilizing LLMs, multimodal AI models, and generative AI technologies.

• Assess the appropriateness of using commercial foundation models versus creating custom machine learning solutions.

• Design, construct, and maintain scalable ML pipelines that encompass data collection, labeling, training, evaluation, deployment, and monitoring.

• Acquire, clean, curate, and prepare high-quality datasets for model training.

• Develop and uphold MLOps infrastructure, which includes model versioning, CI/CD pipelines, deployment automation, and monitoring.

• Collaborate with Software Engineers, Product Managers, and AI specialists to embed machine learning capabilities into production applications.

• Enhance model accuracy, inference performance, scalability, and reliability.

• Keep updated with the latest machine learning methods, AI frameworks, and industry best practices.

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Over 3 years of commercial experience as a Machine Learning Engineer or AI Engineer.

• Demonstrated experience in building and deploying production machine learning systems.

• Strong background in developing computer vision models.

• Proficiency in end-to-end MLOps, which includes:

• Data collection and labeling

• Model training and evaluation

• Pipeline development

• CI/CD automation

• Model versioning

• Monitoring and optimization

• Familiarity with LLMs, multimodal AI models, and generative AI technologies.

• Strong Python programming skills.

• Experience with deep learning frameworks such as PyTorch.

• Knowledge of deploying scalable inference infrastructure.

• Solid understanding of the software development lifecycle.

• Excellent written and verbal communication skills in English.

• Comfortable working remotely with distributed teams across New Zealand and Australia.

• Highly Desirable:

• Experience with TensorRT or similar inference optimization engines.

• Experience in developing Edge AI or Edge ML applications.

• Familiarity with .NET and C#.

• Experience working with AWS, Azure, or Google Cloud Platform.

• Knowledge of Docker, Kubernetes, and modern ML deployment pipelines.

• Experience in 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.