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AP - Machine Learning Engineer

5 hours, 1 minute ago
Philippines
Full-time
Mid Level
Machine Learning Engineer
Software Development
AWS Azure C# CI/CD Computer Vision Docker GCP Generative AI Kubernetes LLM Machine Learning MLOps .NET Python PyTorch
Apply Now
D2B

D2B

D2B specializes in connecting Australian businesses with top offshore talent, facilitating the hiring process to help companies scale efficiently and effectively.

Professional Services
View All Jobs 158

Description

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

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 with no agency middleman.
  • Long-term engagement with a stable and growing business.

Interested in this position?

Apply directly on the company website

Apply Now

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