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AI / ML Engineer (AU)

AI / ML Engineer (AU)

DroneShield Group Pty LtdCouncil of the City of Sydney, NSW, Australia
20 days ago
Job description

About the role

Join a cutting-edge team at DroneShield, where you\'ll help develop advanced machine learning solutions that address real-world challenges. Your focus will be on applying state-of-the-art computer vision techniques to enhance our products, working alongside experts in signal intelligence and software engineering. In this fast-paced, multidisciplinary environment, we value innovation, technical excellence, and the ability to perform under pressure. You\'ll play a key role in maintaining and refining existing deep learning models, optimising performance, and delivering impactful solutions on tight timelines — all while solving challenging problems that make a real difference in high-stakes scenarios.

Responsibilities, Duties and Expectations

  • Maintain, refine, and extend existing deep learning models and inference pipelines.
  • Evaluate and benchmark model performance on curated datasets and real-world test cases.
  • Validate model predictions in operational or field environments and ensure deployment readiness.
  • Monitor model performance in production, identify issues, and contribute to continuous improvement.
  • Analyze datasets to identify gaps, inconsistencies, or opportunities for enrichment.
  • Collaborate with the Signal Intelligence Operations team to support data collection and annotation.
  • Work closely with software engineers to integrate and optimise ML models within production systems.
  • Write clean, maintainable, and well-documented code to support model development and deployment.

Qualifications, Experience and Skills

  • Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).
  • 2+ years of hands-on experience in machine learning, specifically in computer vision applications.
  • Solid experience in developing and training deep learning models using PyTorch.
  • Demonstrated ability to tune hyperparameters (e.g., learning rate, confidence thresholds) and evaluate model performance using standard metrics.
  • Skilled in analysing, labelling, and preprocessing real-world datasets for model training and evaluation.
  • Proficient in exploratory data analysis using Pandas, and data visualisation using Matplotlib or Plotly.
  • Familiar with state-of-the-art deep learning architectures in computer vision (e.g., U-Net, ResNet, YOLO).
  • Strong Python programming skills, with knowledge of modern libraries and software engineering best practices.
  • Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Academic research experience in deep learning and computer vision is desirable.
  • Experience with radio frequency datasets is a plus.
  • Who you are

  • You are comfortable pushing the boundaries of ML model performance in production environments.
  • You enjoy the ML workflow end-to-end, from data collection to production monitoring.
  • You are a lifelong learner. You’re self-taught and continuously learning. You are interested in keeping up with current best practices in your areas of expertise.
  • You are experienced working with modern infrastructure and tools.
  • You are comfortable running your software in Linux environments.
  • You have an abundance of ambition and motivation to grow the company and compete with the big players in the industry.
  • You can work both autonomously and thoughtfully as a team.
  • Note for recruitment agencies : We do not accept unsolicited candidates from external recruiters unless specifically instructed.

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    Engineer Au • Council of the City of Sydney, NSW, Australia

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