Top AI Jobs in Sydney

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

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.

As a Data Scientist (AI), you'll collaborate with AI engineers, handle data analytics, oversee model fine-tuning, deployment, and perform A/B testing to enhance healthcare solutions.

As a Technical Support Engineer, you will provide technical support to enterprise customers, troubleshoot issues, and collaborate with engineering teams to enhance product quality while ensuring customer satisfaction.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Design and develop AI agents, integrate solutions, collaborate with teams, maintain evaluation platforms, troubleshoot and produce quality code.

Lead AI/ML initiatives by identifying opportunities, owning projects from concept to deployment, mentoring teams, and pioneering advanced AI applications.

The Forward Deployed AI Engineer will develop and launch generative AI applications, collaborating with customer teams to innovate and prototype AI-driven solutions.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Staff AI Engineer will develop AI agents and systems, enhance tools, collaborate on full-stack application development, and improve AI outputs through evaluations and iterations.

Develop AI agents, tools, and full-stack applications, focusing on user-facing AI features and multi-agent orchestration, while enhancing AI performance.

The Machine Learning Engineer will design and develop LLM-based products utilizing Earth Observation data, integrating models into complex workflows and collaborating closely with data scientists.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The role involves building an AI image generation product for iOS, focusing on user acquisition, monetization, conversion strategies, and cross-functional collaboration.

Support SEO/SEM efforts for AI image generation site by optimizing content, conducting data analysis, and collaborating with cross-functional teams.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

The Customer Technology Advisor will leverage technical expertise in Data and AI to enhance customer relations, design solutions, and lead pre-sales processes, ensuring alignment with client needs and Kyndryl standards.

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.

As an AI Inference Support Engineer, you'll troubleshoot customer issues in AI inference, manage tickets, analyze performance metrics, and collaborate with engineering teams.

The AI Engineer will develop and implement data science models, build scalable ML pipelines, optimize performance, and adhere to data privacy regulations. They will work with data scientists and engineers to ensure model deployment and maintain best practices in a collaborative environment.

Lead design and implementation of MLOps pipelines and AI systems, manage ML teams, and ensure operational integrity for machine learning systems.

Lead engineering in AI to enhance merchant experiences at Tyro, focusing on agentic capabilities. Define vision, architecture, and reliability of AI systems, while mentoring a diverse team.

The AI Pre-Sales Specialist drives revenue by engaging stakeholders, qualifying AI opportunities, delivering solution demonstrations, and advising on AI adoption within targeted industries.

The Director/Senior Director of AI will lead a small engineering team, manage AI initiatives, advise on AI strategy, and ensure compliance. Responsibilities include establishing AI practices, scaling the team, and delivering impactful AI solutions across departments.

The AI Outcomes Manager will transform departmental operations using Glean's AI platform, engage with executives, conduct workshops, and enhance customer engagement.