CYOS Solutions ir IT personāla atlases aģentūra, kas atbalsta federālās valdības darbinieku piesaisti Melburnā, Sidnejā un Brisbenā. Uzņēmums specializējas IT līgumdarbinieku piesaistē un izmanto savu dibinātāju praktisko pieredzi, jo viņi iepriekš paši strādājuši kā līgumdarbinieki. Veicot atlasi, uzņēmums savieno kvalificētus IT speciālistus ar dažādām ar valsts pārvaldi saistītām iespējām un palīdz klientiem apmierināt specializēta IT personāla vajadzības.
Senior AI Engineer, Cloud AI
Build secure AI and machine learning platforms and cloud infrastructure for Services Australia. Lead scalable, compliant solutions across public cloud, on-premises and hybrid environments.
Apraksts
- Design and optimise enterprise AI, machine learning and generative AI platforms, applications and infrastructure.
- Lead secure, scalable engineering solutions across public cloud, on-premises and hybrid environments.
- Create cloud-native architectures, infrastructure automation and enterprise AI engineering frameworks.
- Build and maintain AI and machine learning solutions, covering model deployment, inference, evaluation, monitoring and lifecycle management.
- Design and support highly available cloud infrastructure, including capacity planning, resilience and operational performance.
- Lead software development, systems integration, platform deployment, migration and technical implementation.
- Develop Infrastructure as Code, CI/CD pipelines, automated deployments and secure software delivery processes.
- Apply DevSecOps and secure-by-design practices, meeting Australian Government security, privacy and governance requirements.
- Assess technical requirements, compare solution options and recommend architectures and implementation approaches.
- Diagnose and resolve complex issues across applications, platforms, infrastructure and enterprise services.
- Provide technical leadership and specialist guidance to multidisciplinary delivery teams.
- Set engineering standards, reusable architecture patterns, technical documentation and operational procedures.
- Work with internal and external stakeholders to align solutions with business needs and organisational objectives.
- Advance innovation, continuous improvement, technical governance and adoption of emerging technologies.
- Support operational readiness, reliability, release management, knowledge transfer and ongoing service improvement.
Prasības
- Hold an active Baseline security clearance.
- Bring senior technical experience in AI software engineering, cloud infrastructure, platform engineering, DevOps, MLOps, solution architecture or enterprise systems integration.
- Demonstrate strong programming and software engineering skills, especially in Python, automation, APIs and enterprise application integration.
- Have designed, developed and delivered enterprise AI and machine learning solutions.
- Have AI/ML engineering and MLOps experience spanning model development, training, inference, evaluation, deployment, monitoring and lifecycle management.
- Have worked with LLMs, generative AI, RAG, embeddings, vector databases, AI agents and foundation models.
- Have used AI frameworks and tools such as Hugging Face, vLLM/TGI, Kubeflow, AWS SageMaker, Azure AI or Azure Machine Learning.
- Have designed and supported enterprise cloud infrastructure across AWS, Microsoft Azure, on-premises or hybrid environments.
- Have experience with Kubernetes, OpenShift, OpenShift AI or equivalent platforms.
- Have worked with Docker or Podman, container image management, registries, vulnerability scanning and secure software supply chain practices.
- Have experience with infrastructure as code and automation tools such as Terraform, Ansible, GitOps, Argo CD, GitLab, GitHub Actions or Azure DevOps.
- Have Linux administration experience covering networking, storage, DNS, TLS, load balancing, ingress, certificates and cloud/on-premises connectivity.
- Have used infrastructure monitoring and observability tools such as Prometheus, Grafana, AWS CloudWatch or Azure Application Insights.
- Have experience applying FinOps principles.
- Understand Australian Government security frameworks, privacy obligations, data sovereignty and regulatory compliance.
- Demonstrate technical leadership and the ability to provide specialist advice on complex initiatives.
- Demonstrate experience in complex enterprise solution architecture and systems design.
- Have led or contributed to software development, systems integration, infrastructure implementation, automated deployment or technology migration.
- Communicate effectively in writing and verbally.
- Experience with Agile, DevOps, ITIL or other structured technology delivery frameworks is desirable.
- Experience delivering solutions in Australian Government environments is desirable.
Priekšrocības
- A hybrid work-from-home arrangement may be considered after the first two weeks, typically with at least two days onsite each week.
- Contract extensions may be offered up to a maximum term of 24 months.
- Rates include superannuation.