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Amazon Web Services Principal AI Solution Architect, Data & AI Specialist Solutions Architect team
Principal AI Solution Architect designs and advises on cloud-native GenAI/ML and Agentic architectures for AWS customers, focusing on scalable, secure implementations using services like Bedrock, SageMaker, and RAG workflows.
Copy of Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery AI products, including real-time model serving, distributed training, and LLM platforms on AWS/GCP.
Copy of Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML platform that powers Nearmap’s aerial imagery analytics and generative AI products, running on AWS/GCP with Kubernetes, Ray Serve, and GPU workloads.
Senior AI/ML Solutions Architect
Designs and builds enterprise AI/ML solutions using deep learning and GenAI, deploys scalable pipelines, and leads end-to-end projects from data assessment to production.
Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Build and deploy GenAI, Agentic AI, and NLP models to enhance customer experiences in wealth management, focusing on SMSF and Wealth Crew services using Python, LLMs, and MLOps.
AI Engineer
Build and deploy AI solutions using .NET, Azure AI, and LLMs for enterprise applications in Sydney’s CBD.
Senior AI Engineer (Agentic AI & RAG)
Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
AI Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
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Amazon Web Services (AWS) Sr AI Solution Architect, AI Specialist Solutions Architect team
Design and advise on scalable, secure GenAI/ML and agentic architectures on AWS for enterprise customers, focusing on production deployment, RAG, and LLM optimization.
Data Scientist (LLM)
Design, build, and deploy LLM and AI models with rigorous testing and governance; lead experiments in statistical modeling and predictive analytics.
Engineering Manager (AI)
Company Description Nine is Australia’s largest locally owned media company. Working at Nine, you’ll have access to a unique range of experiences and opportunities, helping drive the success of the country’s most…
Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML infrastructure that powers Nearmap’s aerial-imagery AI, including EKS batch inference, Ray Serve real-time serving, and GPU training on AWS/GCP.
Senior AI Engineer, Data Science
Build and deploy advanced LLM-driven agentic AI systems for enterprise use, focusing on multi-step reasoning, workflow orchestration, and autonomous decision-making in complex environments.
Data Scientist (AI)
Build and deploy generative AI systems (LLMs, RAG, agents) to improve customer experience, operations, and productivity at Virgin Australia, from prototype to production.
Senior Data Engineer - 12 month FTC
Senior Data Engineer builds and maintains ETL/ELT pipelines and MLOps workflows on a modern data/AI platform to create reusable, single-source datasets for AI/ML use cases in a large telco.
Senior Machine Learning Engineer
Build and deploy production-grade ML models and scalable MLOps pipelines on Azure/AWS/GCP to transform business data into AI-driven products.
Data Scientist (MLOps)
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
Technical Lead - Data Engineering
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Senior Data Scientist, LLM & AI Solutions (Sydney)
Design, build, and deploy AI-powered solutions using LLMs and advanced analytics in a hybrid Sydney office role.
Lead AI/ML Data Scientist — RAG, Azure & MLOps
Lead the design and deployment of AI/ML models (RAG, computer vision) using Python, PySpark, and Azure AI, with MLOps for production and continuous improvement.