Top AI Jobs in Sydney

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 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.