AI/ML Engineer
1 day ago
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.
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