Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Build and deploy AI-powered solutions using Python, LLMs, and cloud tools like GCP; develop RAG, agentic workflows, and prompt-based applications under senior guidance.
Engineering Manager (AI) Location: North Sydney, New South Wales Time Type: Full time Job Description Company Description Nine is Australia’s largest locally owned media company. Working at Nine, you’ll have access to…
Build and ship ML systems that autonomously optimize ad spend for retail-media advertisers using Python, GCP, and reinforcement learning alongside emerging LLM-based planning layers.
Lead AI and data-science strategy for a grocery retailer’s supply-chain and store-execution platforms, building forecasting, optimization, and agentic-AI systems to cut waste and out-of-stocks.
Leads AI/ML architecture and team for Albertsons’ supply chain and store execution, designing forecasting, replenishment, and agentic AI systems to optimize retail operations at scale.
Build and maintain scalable MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to deploy, monitor, and retrain ML models for enterprise use.
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Build and maintain enterprise-scale agentic AI platforms, integrations, and workflows using Python/Java/Go, LangChain, and GCP/Vertex AI.
Build full-stack internal apps and AI-powered tools on DDN’s data platform, using Python, React, and GCP to automate and surface data for business teams.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Build and improve AI-driven forecasting models and data pipelines to optimize Australia Post’s national logistics network, translating analytics into operational decisions.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Build and deploy enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance and cost-control measures across cloud platforms like GCP and AWS.
Lead the design and deployment of enterprise-scale AI agent systems at Caterpillar, focusing on agentic architectures, orchestration, and integration with cloud AI platforms.
Build and deploy enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance, monitoring, and cost controls across cloud platforms like GCP and AWS.
Build and lead enterprise-grade full-stack cloud applications using Java/Spring Boot, React/Angular, and microservices on GCP/AWS, while mentoring teams and modernizing legacy systems.
Lead a team of data scientists to design, build, and deploy AI/ML models on GCP Vertex AI, guiding strategy and mentoring while ensuring scalable, production-grade solutions for business stakeholders.
Build and deploy production-grade AI solutions using LLMs, RAG, and agents, integrating them with enterprise systems to solve real business problems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.