Top AI Jobs in Melbourne

Lead design and build of internal AI tooling and automation to improve security operations. Develop ad-hoc incident response and threat-hunting tools, maintain Kubernetes, serverless, and ETL/data pipelines, and partner with product teams to automate patching and risk-mitigation services. Own large-scale log pipelines, mentor junior engineers, and deliver high-quality projects autonomously.

Lead development of internal AI-driven security tools and automation, support incident response with threat-hunting and remediation tooling, maintain Kubernetes/serverless infrastructure and large-scale log/ETL pipelines, identify automation opportunities with engineering teams, drive security outcomes (patching, gateways), and mentor junior engineers.

Lead and grow an engineering team building AI-powered internal security tooling and automation. Drive execution from planning to delivery, build infrastructure (Kubernetes, serverless, ETL), support incident response with threat-hunting tools, and partner with product teams to reduce risk through automation and security services. Mentor engineers and identify opportunities for automation and tooling.

The Professor will lead research in neuro-symbolic and trustworthy AI, engage in teaching and curriculum development, and foster national and global partnerships.

The Solution Sales Executive will drive sales of FICO's platform in financial services, engaging with clients, managing relationships, and collaborating with internal teams to deliver solutions.

The Clinical Development Analyst specializes in developing and managing Computer-Assisted Coding for healthcare, ensuring alignment with coding standards and compliance, and providing clinical expertise in coding development.

The Content Solutions Engineer will act as a subject matter expert in AI and Machine Translation, providing pre-sales support, technical consulting, and collaborating on solution architecture to help clients optimize globalization processes.

Join CommBank's Data Science & AI Talent Community to build AI solutions improving customer outcomes while fostering responsible and ethical use of AI. Positions available range from Data Scientist to Principal Data Scientist, emphasizing collaboration and innovation in a flexible work environment.

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 Partner Development Executive builds relationships with strategic partners to align SUSE solutions with objectives, drive pipeline and business growth, and enhance SUSE's market presence.

As a Senior Engineer, you'll develop AI workflows, lead delivery of AI agents, and integrate systems while collaborating with business teams to automate processes.

The Business Development Manager will onboard new sellers, build relationships, conduct market research, negotiate contracts, and collaborate with internal teams.

The role involves being a technical advisor, focusing on AI solutions within GitLab's DevSecOps platform, guiding strategy and value for customers, and leading technical evaluations and workshops.

Promote Lilly's cardiometabolic health products, build relationships with healthcare professionals, travel regionally, maintain customer satisfaction, and comply with standards.

Lead Android architecture and infrastructure for Binance mobile apps: design, build, optimize, and maintain high-performance Kotlin/Java applications, create shared libraries and toolchains, collaborate on hybrid JavaScript runtimes, and use profiling and AI-assisted debugging to troubleshoot and improve app performance.

Early-career Data Scientist role in Binance Accelerator Program focused on designing and evaluating AI models to detect P2P scams. Responsibilities include developing CV-based document verification, LLM-based detection and interpretable explanations, image-embedding feature extraction, and collaborating with engineers to optimize detection pipelines and deliver insights.

Design, develop, and optimize high-performance Java backend systems. Contribute to architecture, implement core modules, troubleshoot production issues, perform code reviews, and improve scalability, availability, and reliability of distributed financial or blockchain systems.

Lead data analysis and BI for recommendation, feeds, and growth use cases; deliver analytics, reporting, and end-to-end solutions; prioritize stakeholder requests; partner cross-functionally to deliver high-impact use cases; implement LLM-based agents for analysis, chatbot interaction, and sentiment monitoring; and mentor junior analysts.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Design and implement backend systems for a user-facing AI chat product. Collaborate with product, DevOps, and QA; drive best practices, conduct code reviews, and deliver high-quality microservices using cloud infrastructure and message brokers.

Early-career role contributing to design and development of AI agents, building benchmark datasets, prototyping agent workflows (e.g., LangChain/LangGraph), and collaborating with senior engineers on system integration and deployment.

Design and develop high-performance backend services for an AI-powered trading assistant: build AI agent execution, trading order execution, AI sub-account and API key lifecycle management, integrate Binance trading APIs, implement skills/tool-calling frameworks, and ensure scalable, low-latency real-time data pipelines, observability, and security.

Review AI-escalated risk cases (KYC, ATO, 2FA, withdrawals), make pass/block/escalate decisions, label outcomes with root-cause annotations to train ROCA, maintain SLAs and accuracy, update SOPs, and support model calibration and BPO onboarding.

Responsible for functional and API testing of platform products, designing and executing end-to-end tests across frontend, backend, strategy, and algorithms. Validate personalized user experiences, improve test coverage and QA processes, and drive adoption of AI-assisted test generation and automation. Collaborate with Product, Engineering, Algorithm, and Strategy teams to identify issues and ensure quality.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.