I’m looking for a talented Engineer, experienced in building advanced AI systems designed to operate in complex, high-pressure environments where real-time decision-making matters.

Here, you will develop and deploy machine learning models that process and interpret data from multiple sensor streams, contributing to intelligent systems capable of detecting, classifying, and responding to agile events in real time.

This is a complex & challenging role which sits at the intersection of applied research and production engineering.
Design and implement machine learning models across vision, RF, acoustic, or other sensor modalities
Build and refine model training pipelines, including data preparation and feature engineering
Develop scalable workflows for experimentation, validation, and deployment
Optimise models for low-latency inference in resource-constrained environments
Benchmark model performance using structured evaluation methodologies
Collaborate with backend and systems engineers to integrate models into distributed production systems
Improve model robustness and stability through monitoring and post-deployment analysis




Contribute to architectural decisions for AI infrastructure and long-term ML capability
Industry experience in machine learning or applied AI engineering
Experience with contemporary deep learning frameworks (e.g. PyTorch, TensorFlow, JAX or similar)
Experience designing and maintaining reproducible ML pipelines
Experience working with GPU acceleration and high-performance computing settings
Understanding of model evaluation metrics and validation strategies
Experience deploying models into production environments
Comfortable working in Linux-based systems
Experience with containerisation (e.g. Docker or similar tools)

Nice to Have
Experience working with multi-modal data
Familiarity with distributed training or edge deployment
Exposure to C++ or other performance-oriented languages
Experience building CI/CD pipelines for ML systems
Background in signal processing, embedded systems, or real-time analytics

This is a fulltime position, based in Sydney. If interested, please apply with your most up-to-date CV & I’ll be in touch.
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📌 Machine Learning Engineer City Of Sydney
🏢 ProFound People
📍 City of Sydney