Top AI Jobs in Sydney

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

As an AI Backend Engineer, you'll develop and maintain backend services and APIs, collaborate with frontend developers, implement database queries, ensure application reliability, write clean code, and mentor junior engineers.

The AI/ML Engineer will develop and deploy scalable AI models, design ML pipelines, preprocess and analyze large datasets, optimize ML models, and deploy them in production using cloud platforms. Collaborating with cross-functional teams and staying updated with industry trends are also key responsibilities.

The job involves owning and building large areas within AI data management software, participating in the entire product lifecycle, and quickly learning new technologies as needed. You’ll work on developing tools for managing unstructured data at scale, contributing to open-source solutions, and collaborating with a remote team.

As a Presales Data Architect at Rackspace, you will lead the design and implementation of advanced data solutions, supporting analytics and AI initiatives. You'll collaborate with cross-functional teams, manage strategic accounts, and provide pre-sales and delivery support for data projects on AWS. Your role includes mentoring, outlining data strategies, and simplifying complex technical concepts for stakeholders.

As a Data Architect, you will design and deliver modern data solutions on AWS, support sales and pre-sales engagements, and mentor others while driving the growth of the data practice in the region. You will lead projects involving data platforms, ingestion, and analytics, ensuring successful outcomes for clients.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

As a Senior AI Product Engineer, you will develop and optimize Large Language Models for AI products, collaborating with cross-functional teams to drive initiatives in decentralized and centralized finance. Responsibilities include designing LLM-based systems, prompt engineering, and integrating models into Agentic platforms.

As a Forward Deployed AI Engineer, you will collaborate with enterprise clients to modernize applications, implement AI tools, and influence MongoDB's product roadmap. This role involves addressing complex challenges and developing scalable solutions while leveraging AI and machine learning technologies.

As a Forward Deployed AI Engineer, you will partner with enterprise customers to modernize applications and implement AI-powered tools. You will work on high-impact projects, influencing MongoDB's product direction and contributing to its ecosystem. The role combines technical skills with strategic collaboration across teams.

The role involves designing innovative conversational experiences, leading design workshops, analyzing user intents and journeys, and collaborating with various stakeholders to implement bot designs. Responsibilities include creating design documents, iterating on prompts, reviewing conversation designs, and advocating for best practices in conversation design.

As a Senior AI Engineer at Dovetail, you will lead the development of AI features, mentor junior engineers, drive AI enablement within teams, and influence product direction based on emerging technologies. You will ensure quality and performance improvements in machine learning systems while fostering pragmatism in software development practices.

The Senior AI/ML Engineer will design and implement AI/ML models to analyze blockchain data, collaborate with teams to integrate these models into Nansen's platform, mentor junior engineers, and apply innovative solutions to drive decision-making for crypto investors.

Outlier seeks experienced software engineers to provide coding expertise in training AI models. Responsibilities include crafting questions related to computer science and evaluating code produced by AI. This freelance opportunity offers flexible hours and the chance to impact AI development.

Outlier seeks talented coders to assist in training AI models through crafting computer science questions and evaluating AI-generated code. This remote freelance role offers flexible hours and requires proficiency in specific programming languages and the ability to communicate in Simplified Chinese.