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Lead Gen AI Engineer (GCP)
Lead the design, development, and deployment of enterprise-scale Generative AI solutions using LLMs, RAG pipelines, and cloud platforms like GCP, while mentoring teams and optimizing production-grade AI systems.
Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Build and deploy GenAI, Agentic AI, and NLP models to create intelligent assistants for SMSF customers and advisers in Wealth & Private Banking.
AI Solutions Architect
Designs end-to-end AI infrastructure (GPU clusters, networking, storage, MLOps) and translates customer needs into technical proposals to win enterprise AI deals.
Principal AI Engineer
Principal AI Engineer designs and deploys scalable AI/GenAI systems, leads MLOps practices, and mentors teams to drive business insights and automation in regulated enterprise environments.
Senior Data Scientist, Applied Science
Senior Data Scientist building and deploying LLM-driven AI systems for enterprise clients, optimizing reasoning chains, and leading MLOps and AI strategy.
Senior AI Engineer
Senior AI engineer builds safety guardrails, evaluation pipelines, and observability for agentic systems in AWS to ensure responsible AI deployment and compliance.
Data / ML Engineer
Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Senior Data Scientist
Build and deploy AI/ML models and analytics to optimize supply chain, forecasting, and business decisions across a global wine producer.
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.