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Design, build, and deploy AI-powered solutions using LLMs and advanced analytics in a hybrid Sydney office role.
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.
Build and deploy enterprise-grade AI/LLM solutions using Snowflake, dbt Cloud, and Python, focusing on RAG, conversational AI, and MLOps pipelines for a large pharmacy retailer.
Design and advise on scalable, secure AI architectures for AWS customers, focusing on GenAI/ML and Agentic systems, and evangelize best practices through technical content and workshops.
Lead AI/ML projects for government, building LLMs and analytics systems while ensuring ethical, explainable outcomes in Python/SQL/MLOps.
Build and deploy ML models to detect fraud and improve customer experience in a global digital gifting and payments platform.
Lead the design and deployment of agentic AI systems, including LLM-driven agents with planning, tool-use, and multi-step reasoning for enterprise workflows.
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Build and deploy production-grade ML models and pipelines to improve pet healthcare outcomes using Python, cloud platforms, and modern AI practices.
Build and deploy ML models to detect fraud and improve customer experience in digital gifting and payments, using frameworks like PyTorch and cloud platforms such as AWS.
Design and operate secure Azure cloud platforms to deploy and scale AI solutions, using Terraform, Bicep, and CI/CD pipelines while ensuring security, governance, and operational excellence.
Design and lead enterprise AI solutions for Australian clients, building secure LLM/RAG architectures and rapid PoCs while mentoring AI engineers.
Build and deploy AI-powered computer vision models for video analytics, working across edge and cloud environments using Python, OpenCV, and frameworks like TensorFlow or PyTorch.
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Senior DevOps ML Engineer builds and runs AI platforms, splitting time between GPU-accelerated Kubernetes, backend services, and MLOps to productionize LLMs and digital avatars.
Build and deploy AI systems using Python, RAG, and Agentic AI frameworks like LangChain on AWS cloud services.
Lead the design and implementation of a modern cloud-native data and AI platform for a large healthcare provider, integrating real-time IoT, generative AI, and self-service analytics to transform patient care and operational efficiency.
Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Leads AI/ML projects from planning to deployment, coordinating between business stakeholders and technical teams to deliver generative AI, data science, and analytics solutions on time and within budget.
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