About the role DroneShield is seeking an AI/ML Engineer to join our growing team in Sydney, Australia. Reporting to the SensorFusionAI (SFAI) Team Lead, you will play a key role in developing multi-sensor AI models that contribute towards sensor fusion or provide real-time actionable intelligence to end users across defence, security and critical infrastructure domains. Responsibilities, Duties and Expectations Develop, maintain, finetune and extend existing MLOps pipelines and frameworks. Develop model benchmarking frameworks and evaluate model performance on curated datasets and real-world test cases. Work closely with software engineers to integrate and optimise ML models for inference within DroneShield’s production systems. Monitor and optimise model performance post-deployment, investigating issues and driving continuous improvement. Write clean, maintainable, and well-documented code, following modern software engineering and AI/ML best practices (testing, CI/CD, code reviews). Contribute to the long-term AI/ML roadmap of DroneShield’s world-class counter-drone solutions. Collaborate with data engineers to support data collection, ETL and annotation workflows. Qualifications, Experience and Skills Bachelor’s degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related technical field or equivalent practical experience Minimum of 3 years of professional, hands-on experience developing, training, and deploying machine learning models, including traditional, deep learning, and attention-based transformer architectures Proficiency in Python; knowledge of at least one object-oriented programming language (e.g. Go, C++) is favourable Strong experience with ML frameworks such as PyTorch or TensorFlow, and familiarity with model optimization and conversion tools (e.g. ONNX) Proven experience designing and implementing end-to-end MLOps pipelines, using tools such as ClearML Experience with CUDA, distributed or real-time inference systems and GPU acceleration pipelines Strong understanding of model evaluation, metrics, conversion and inference optimization across various platforms Familiarity with containerization and orchestration using Docker Proficiency in Linux-based development and runtime environments Experience designing and implementing automated CI/CD workflows is favourable Background in SQL databases or basic front-end (React) development is advantageous Who you are You are a self-driven learner, always seeking to improve and stay at the forefront of your field. You excel in fast-paced, mission-critical environments with a strong sense of purpose. You are a clear communicator capable of bridging technical and non-technical discussions. You are collaborative and team-oriented, contributing positively to shared problem solving. You take ownership of your work, driving solutions from concept to deployment. You are proactive in influencing technical direction and contributing to strategic decisions. Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
