Top AI Jobs in Sydney

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.

The AI Data Governance Lead will design and implement governance frameworks for data and AI, ensuring compliance and enabling safe AI use across organizations while mentoring teams and engaging senior stakeholders.

The Senior DevOps Engineer will optimize cloud infrastructure, manage CI/CD pipelines, and enhance AI delivery practices, ensuring high-quality outcomes in enterprise environments.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

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

The role involves designing scalable ML infrastructure, managing Kubernetes platforms, building ML tools, and ensuring production system reliability.

Test and validate Spanish (Mexican) voice AI agents, review recordings and transcripts, identify language/pronunciation and workflow issues, provide structured feedback, and support live customers via email/tickets during US Pacific Time business hours.

Provide private equity expertise to evaluate and create high-quality financial and investment content for training AI systems. Review financial models, market analyses, deal documents, support due diligence, deal sourcing insights, and give structured feedback to improve analytical accuracy.

Review and assess equity research, models, and market analyses to improve AI training data. Provide valuation, earnings forecasting, and investment memo feedback using long/short equity frameworks. Contribute to analytical materials, market sizing, and research summaries to enhance financial reasoning in foundational models.

Analyze and classify technical content for security vulnerabilities, apply pattern recognition to improve AI model threat detection, design and evaluate security problems, and collaborate asynchronously with domain experts to produce high-quality outputs.

The AI Information Scientist manages data catalogues, metadata schemas, and data quality frameworks to ensure AI systems use trustworthy data. This role involves working with AI engineers and requires a background in data governance and hands-on experience with catalogue platforms and SQL.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

The AI Operations Specialist will support CoinMarketCap's AI team by conducting feature evaluations, developing tools and automations, managing outreach, and collaborating with internal stakeholders to enhance AI operations.

The Senior Solutions Engineer engages with sales teams to align AI solutions with client needs, leads demonstrations, manages solution design, and ensures compliance and security standards. They provide technical support to customers, facilitating AI adoption and value creation.

The Legal AI Implementation Strategist will lead AI implementation projects for legal and compliance teams, deconstruct workflows, and translate legal documents to aid AI. The role involves collaborating with stakeholders and shaping the product roadmap based on customer insights.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

The role involves developing algorithmic systems to create conflated Map Data products, transforming aerial imagery using AI and geospatial analysis.

The Applied AI Engineer will deploy AI agents for customers, collaborate with sales and engineering, integrate voice AI, and validate agent performance.

The Senior DevOps AI Engineer will maintain infrastructure in GCP/AWS, lead DevOps tasks, and develop AI-driven operational tools while collaborating with engineering and support teams.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.