Data Engineer
2 weeks ago
About the role
DroneShield is seeking a Data Engineer (VisionAI) to join our development team in Sydney. In this role, you will be at the forefront of advancing our computer vision capabilities - managing large-scale image and video datasets, and building the data infrastructure and MLOps pipelines that power next-generation AI systems.
You'll collaborate closely with engineers, data scientists, and product teams to ensure our datasets are reliable, scalable, and optimised for real-world defence and security applications. This position offers the opportunity to work on unique, mission-critical challenges where your contributions directly impact global security outcomes.
Responsibilities, Duties and Expectations
- Design, build, and optimise robust data pipelines and databases to support end-to-end computer vision workflows — from ingestion and transformation to storage and retrieval.
- Develop scalable data infrastructure and visualisation tools that ensure dataset quality and deliver actionable operational insights.
- Work cross-functionally with data scientists, ML engineers, and software teams to enable rapid experimentation and deployment of AI-driven solutions.
- Champion best practices in data quality, governance, and reproducibility, ensuring datasets meet the standards required for mission-critical defence technology.
- Continuously innovate, identifying opportunities to automate processes, integrate new tools, and enhance MLOps efficiency.
Qualifications, Experience and Skills
- Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience
- More than 3 years' experience in data engineering, including working with unstructured data such as images or videos
- Proficiency in Python development, including computer vision libraries (e.g. OpenCV, Pillow, scikit-image)
- Experience designing, maintaining, querying and optimising relational databases (e.g. PostgreSQL, MySQL)
- Experience building and managing scalable ETL/ELT and/or MLOps pipelines (e.g. Apache Airflow, ClearML)
- Experience in exploratory data analysis (EDA) and building dashboards (e.g. FiftyOne, Pandas, Tableau, Power BI)
- Familiar with cloud platforms (e.g. AWS, GCP), version control system (Git), data versioning tools (e.g. DVC), and on-premises data management
- Knowledge of computer vision model evaluation and synthetic data generation techniques is favourable
- Exposure to Vision Language Models or generative AI for data preprocessing is favourable
- Previous 'start-up' or 'scale-up' experience is favourable
- Strong problem-solving skills, attention to data quality, and effective cross-team communication
- An abundance of ambition and motivation to grow the company and compete with the big players in the industry
Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
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