Top AI Jobs in Melbourne

As a Principal Engineer at Xero, you will lead initiatives to enhance high-performance data and AI platforms, mentor engineers, manage technical decision processes, and ensure alignment with the company's engineering strategy. You will be responsible for driving improvements and operational excellence while fostering community and collaboration across engineering teams.

As a Reserve Engineer, you will service and maintain robotic hardware, address hardware failures at client sites, assist with projects and deployments, and provide exceptional customer service. You will communicate effectively with teams and clients while working on repairs both during regular and after-hours.

The AI/ML Engineer will develop and deploy scalable AI models, focusing on NLP, computer vision, and predictive analytics. Responsibilities include designing ML pipelines, optimizing models, and integrating AI solutions into production systems while collaborating with cross-functional teams.

The role involves writing clean and efficient code, collaborating with senior engineers, maintaining documentation, supporting debugging efforts, and researching AI tools to enhance engineering processes. Continuous learning and participation in team activities are essential.

The Principal Platform Engineer will lead the design and development of AI and Gen AI solutions on AWS, collaborating with cross-functional teams and mentoring engineers. The role requires deep knowledge of machine learning and cloud technologies to innovate and enhance customer experiences.

The Staff Software Engineer will design and implement software solutions, particularly chatbots, utilizing Azure and ServiceNow, lead engineering initiatives, provide guidance across teams, mentor engineers, and drive technology adoption.

Responsible for designing and developing chatbot solutions using Azure, ServiceNow, and Microsoft Teams, collaborating with teams to deliver innovative software solutions, conducting code reviews, and ensuring software meets project requirements while improving quality and performance.

As Chief Engineer of Generative AI Engineering, you will lead the development of innovative AI solutions, architect scalable distributed systems, mentor engineering teams, and drive organizational adoption of Generative AI technologies, ensuring compliance and reliability in high-stakes environments.