Top Machine Learning Jobs in Melbourne

As a GenAI Architect, you will drive customer outcomes and value realization for GenAI technology through hands-on delivery and technical advisory. You'll lead complex projects, collaborate with teams, and contribute to documentation while staying informed about industry trends.

As a Senior Machine Learning Engineer in the Risk ML team, you will build machine learning models to detect fraud in real-time, analyze emerging fraud patterns, and collaborate with cross-functional teams. You will also mentor fellow modellers and have autonomy over your projects from design to operation.

In this role, you'll develop an AI/ML strategy to enhance customer support, lead natural language processing system development, and collaborate on machine learning projects to improve user experience for Canva's platform.

The Reserve Engineer is responsible for servicing and maintaining robotic hardware at client sites, ensuring quick resolution of hardware failures, assisting with new robot deployments, and providing excellent customer service. Regular communication with clients and team members is essential, along with a willingness to learn about the robotic systems.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

The role involves building machine learning models to detect fraudulent activity, collaborating with engineering and product teams, and contributing to the growth of modelling capabilities. The incumbent will analyze emerging fraud patterns and deploy robust models in real-time.

The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.

As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.