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Build and maintain a secure, scalable Azure-based data platform for analytics, AI, and reporting, using Databricks, Data Lake, Terraform, and CI/CD pipelines.
Build and run a secure, scalable Azure-based data platform (Databricks, Data Lake) that powers analytics, AI, and reporting for a logistics company.
Build and maintain a secure, scalable Azure and Databricks data platform that powers analytics, AI, and business insights for a logistics company.
Senior AI engineer builds and scales Retrieval-Augmented Generation systems using Python, LangChain, and AWS AI services, while implementing MLOps practices for production ML.
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 building and deploying LLM-driven AI systems for enterprise clients, optimizing reasoning chains, and leading MLOps and AI strategy.
Embed with enterprise customers to prototype and deploy full-stack AI/ML applications, advising on architecture and operationalizing GenAI solutions using Cloudera’s platform.
Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Build and deploy AI/ML models and analytics to optimize supply chain, forecasting, and business decisions across a global wine producer.
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.
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.
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.
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.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Design, build, and deploy LLM and AI models with rigorous testing and governance; lead experiments in statistical modeling and predictive analytics.
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery and AI-driven property analytics, including batch inference, real-time model serving, and LLM platforms on AWS/GCP.
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…
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.
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
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.
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