Join a Landmark AI & Security Initiative – Multiple Roles Available
- 24-Month+ Federal Government Contracts – Stability and long-term career growth
- Australian Citizens with NV1 Clearance – Be part of a high-impact, secure environment
- Preferred Locations: ACT, NSW, VIC – Flexible for the right talent
About the Opportunity
Be at the forefront of one of Australia’s most exciting Artificial Intelligence (AI) and Machine Learning (ML) programs, driving innovation in a large federal government department. This is your chance to work on cutting-edge AI solutions
that will have national impact, while contributing to enhanced security, smarter decision-making, and better citizen services.
We are seeking skilled professionals across multiple disciplines to join this transformative project. If you thrive in secure, high-performance environments and want your work to truly make a difference, we want to hear from you.
Why You’ll Love This Project:
- Work alongside top-tier experts in AI, ML, and cyber security
- Contribute to nation-critical systems with real-world outcomes
- Enjoy long-term stability with potential for multiple contract extensions
- Be part of a collaborative, innovative, and future-focused team
Ready to Shape Australia’s AI Future?
Apply now to be part of a project where your expertise matters, your contribution is valued, and your work makes a difference.
Roles Available:
Data Engineer- Design, build and maintain scalable & robust data pipelines to support large scale data processing and analytics. Ensure data quality, integrity and security by implementing data validation, cleaning and protection measures. Collaborate with ML Engineers and Data analysts to understand data needs, and objectives.
Project Manager- Lead AI project planning, execution, and delivery of operational models, ensuring alignment with operational objectives and stakeholder expectations. Manage project timelines, budgets, and resources, providing regular status reports and communicating progress, risks, and issues to stakeholders. Coordinate cross-functional domains, including data engineering, data science, product management, and business teams, to ensure seamless collaboration and execution. Develop and implement project plans, work breakdown structures, and risk management strategies, ensuring on-time and on-budget delivery.
Security Engineer- Ensure the security of devices and compute platforms, including endpoint security, network security, and cloud security. Conduct risk assessments and implement controls to mitigate potential security threats and vulnerabilities. Assess vulnerabilities in systems and applications, and provide advice on appropriate controls and remediation measures
Business Analyst- Gather and analyse business requirements for AI solutions, working closely with stakeholders to understand their needs, goals, and constraints. Translate business needs into technical specifications, working with data engineers, data scientists, and machine learning engineers to define project scope, requirements, and deliverables. Evaluate project impact and ROI, using metrics and analytics to measure project success and identify areas for improvement
Model Ops Engineer- Oversee and manage the entire lifecycle of ML models, from development and testing to deployment and monitoring in production. Design, implement and maintain scalable and automated CI/CD pipelines for ML models to ensure efficient and reliable model deployment. Ensure model performance, accuracy, and reliability in production by implementing monitoring, alerting, and logging systems. Collaborate with data scientists, data engineers, and other stakeholders to understand business requirements and deliver ML solutions that meet those needs.
Solution Architect- Design end-to-end AI solutions that align with business goals and requirements, ensuring scalability, reliability, and integration with existing systems. Select appropriate technologies, frameworks, and tools to implement AI solutions, taking into account factors such as performance, security, and cost. Collaborate with cross-functional teams, including data scientists, data engineers, and project managers, to ensure successful delivery of AI solutions. Provide technical leadership and guidance, communicating complex technical concepts to non-technical stakeholders.
Platform Administrator- Manage and maintain the AI/ML platform infrastructure, ensuring high availability, scalability, and performance. Oversee user access, permissions, and resource allocation, ensuring appropriate access controls and security policies are in place. Monitor system performance, availability, and capacity, troubleshooting and resolving issues as needed. Support onboarding of new users and provide ongoing user support, creating and maintaining documentation, and training materials. Coordinate platform upgrades, patches, and integrations with other systems, ensuring minimal disruption to users and services.
Front End Developer- Design, develop and maintain user interfaces for AI-powered applications and dashboards, ensuring a seamless user experience. Collaborate with UX/UI designers, back-end developers, and data scientists to integrate visualizations and interactive elements that present AI insights and model outputs. Optimize applications for speed, scalability, and accessibility, ensuring cross-browser compatibility and responsive design principles.
Apply ASAP for immediate consideration – must apply before Wednesday, 13 th August.
To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Rashmi Kapse on + 612 6151 9206 or email rkapse@paxus.com.au and quote the 270869 job reference number.
Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.
