Senior Data Engineer – Vision AI Team (AU)

Work with cutting edge technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the Electronic Warfare, Artificial Intelligence and Machine Learning, RF sensing, Sensor Fusion and distributed systems. Working with high profile customers across militaries, government agencies, airports, critical infrastructure, law enforcement and many others.

With an approximately $1bn market capitalisation and having raised approximately $250m in 2024 alone, DroneShield is undergoing hypergrowth stage, fuelled by rapidly increasing use of drones for nefarious applications, from battlefield, to terrorism, to contraband delivery and commercial espionage.

This role is in the DroneShield Sydney headquarters in Pyrmont, Sydney. There are approximately 200 staff based in the 4,000sqm facility today, scheduled to grow to approximately 300 staff by end of 2026. Overseas on the ground presence includes Virginia (USA), Denmark, Germany and Dubai, as well as distributors in over 70 countries globally.

About the role

DroneShield is seeking a Data Engineer with relevant experience to join the team in Sydney, NSW, Australia.

The position will report to the VisionAI team lead. You will be responsible for developing innovative Deep Learning based Computer Vision systems, including building and maintaining the MLOps pipeline, from collecting and curating datasets to training and benchmarking deep learning models, including exploring data, generating synthetic data, and optimising hyperparameters.

Responsibilities, Duties and Expectations 

• Improve and maintain an MLOPS pipeline for computer vision applications
• Develop a data collection process
• Develop tools and solutions to conduct datasets curation
• Design automatic EDAs (Exploratory Data Analysis) for datasets quality review
• Develop data sampling methods
• Develop synthetic dataset generation processes
• Develop benchmarks for models
• Perform HPO (Hyper Parameters Optimisation) on models
• Train and fine-tune deep learning models
• Improve deep learning Computer Vision model architecture

Qualifications, Experience and Skills 

• BS degree in Computer Science, similar technical field of study or equivalent practical experience.
• Minimum 3 years’ experience working with Datasets management and MLOPS, Machine Learning, Deep Learning
• Experience with MLOPS tools, pipelines and monitoring frameworks (APMs)
• Strong knowledge of Python
• Familiar with popular deep learning frameworks, such as Tensorflow or Pytorch

Nice to have

• Experience with Computer Vision

Note for recruitment agencies: we do not accept floated candidates from external recruiters unless they were instructed to do so.