Top AI Jobs in Melbourne

You'll engineer and operationalize AI systems, building secure gateways for large language models and enabling deployment of AI services at scale.

The AI Principal Technical Consultant will design and implement AI-powered solutions on the ServiceNow platform, bridging technical expertise with AI capabilities to enhance project delivery.

The GTM Manager for AI will launch and scale monday.com's AI products in the APJ region, collaborating with various teams to drive adoption and value.

This role focuses on implementing data governance strategies, collaborating with teams to enhance data stewardship, and navigating ethical challenges in data management.

The Senior Digital Transformation Consultant will assess tech needs for non-profits, provide technology advice, lead capability building programs, and manage multiple projects.

The Senior Digital Producer leads digital and creative projects, managing teams and client relations while ensuring project goals and quality standards are met.

Review and label Japanese-language text, images, or videos according to project guidelines; flag factual errors, sensitive or inappropriate content; follow complex instructions and communicate clarifications as needed for AI training projects.

The Reserve Engineer maintains and services robotic hardware, responds to failures at client sites, and ensures customer satisfaction. Responsibilities include learning hardware, communicating repairs, and assisting with deployment projects.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

The Senior Product Manager is responsible for client relationship management, product strategy, roadmap development, and ensuring feature delivery in healthcare applications using League's platform.

Join the TMT practice as a Senior Associate or Associate, focusing on cyber, data, and AI law, advising clients on regulatory issues and incident responses.

The AI Product Sales Specialist will drive sales in AI/ML for Snowflake, engaging with clients to understand their needs and optimize product usage, while achieving revenue targets and collaborating with cross-functional teams.

The Product Specialist will drive Workday Extend adoption by providing subject matter expertise, developing account strategies, and translating customer needs into strategic solutions, leveraging deep functional understanding of Workday.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

Design end-to-end AI experiences for consumer and enterprise contexts: research opportunity areas, prototype agent behaviour and personality, align visual and brand expression, collaborate with frontend and backend engineers, and build testable AI-driven product workflows focused on usability, trust, and adoption.

The Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

Lead AI development projects, focusing on generative AI solutions and cloud-native engineering. Collaborate with teams to deliver innovative software solutions.

As an AI Researcher, design and prototype foundation model architectures, explore new training algorithms, run experiments, and collaborate with AI Engineers on large-scale systems.

As an AI Engineer at Maincode, you will build and optimize training pipelines and inference systems for large-scale foundation models, collaborating closely with researchers on cutting-edge algorithms.

As a Machine Learning Engineer, you'll develop and evaluate models, build ML systems, and collaborate on generative AI features. You'll work with GPUs, maintain pipelines, and support system reliability while improving model performance.

As an AI Engineer at Kogan.com, you'll design and deploy AI solutions, collaborate with teams, and improve customer experiences using Python and React.

The AI Automation Engineer will design and implement AI-driven automation workflows using Microsoft technologies, optimize operations, and ensure compliance. Collaborating with IT and stakeholders, they'll mentor others and improve automation processes.

The AI Sales Specialist Lead will drive AI product growth in the APAC region, managing a sales team and directly engaging with customers to achieve sales targets. Responsibilities include developing strategies, mentoring staff, and building customer relationships to enhance business outcomes.

Lead the development of AI-powered learning experiences using large language models, working cross-functionally to create educational tools. Evaluate models, design prompts, and optimize learning outcomes for students and teachers.