Overview
Seeking a highly skilled Software Engineer with well- established software development skills and a proven ability to work within an integrated team of technical and non technical personnel. The role will support the design, development and integration of computer vision (CV) and related machine learning (ML) processes.
About the Team
The Data Innovation and Analytics Directorate (DIAD), within the Defence Intelligence Group (DIG), is a team of highly motivated data specialists providing analytical support to AGO's intelligence and production areas. DIAD's vision is to transform analytic workflows, increasing automation and augmentation through the application of data science and machine analytics.
Key Duties and Responsibilities
- Develop software using a variety of languages and development environments.
- Contribute to the delivery of high quality analysis and User Experience outcomes.
- Adhere to software engineering processes and contribute to process improvement.
- Develop CV models with guidance and support of data scientists, including participation in data collection activities.
- Seek knowledge from subject- matter experts on specific problems and integrate feedback as solutions are developed and deployed.
- Document processes in accordance with relevant policies.
- Communicate with the team, wider organisation and partners about solutions created.
- Work as part of a small, cohesive team maintaining productive working relationships.
Security Clearance
Must hold either a current Top Secret Positive Vetting (TSPV) security clearance OR have held a TSPV in the previous 12-month period (which has since been downgraded).
Essential Criteria
- Proven experience in software development, with knowledge and experience of Python.
- Demonstrated high-level interpersonal skills to communicate results appropriately for a range of audiences.
- Extensive experience working collaboratively in a team with multi-disciplinary experts and solving real problems.
Desirable Criteria
- Awareness of intelligence analysis problems and specifically overhead imagery data.
- Demonstrated knowledge in the application and integration of machine learning approaches.