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Machine Learning Engineer

Melbourne, Melbourne Region💼 Full-time🗓 2026-09-17 → 2026-09-24

Core

Develop computer vision and generative AI models to track activity and progress on civil, institutional, and commercial construction sites.

Role type

Machine Learning Engineer (Computer Vision & Generative AI)

Builds

Production ML models integrated into visual progress tracking software for construction firms

Domain

Construction technology / Computer Vision / Generative AI

Deliverable

production ML models

Required skills

Computer vision model development, end-to-end MLOps, LLM and multimodal model experimentation, high-throughput inference infrastructure, SDLC integration, data curation and labeling

Preferred skills

PyTorch, TensorRT, edge ML applications, .NET and C#

Technologies

PyTorch, TensorRT, LLMs, LVMs

Responsibilities

Design, develop, and integrate machine learning models for construction site tracking; run experiments with large-scale generative AI models; develop software for ML lifecycle management; source and curate training data

Seniority

Mid-level, hands-on IC

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