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 a data warehouse and analytics engine for a stealth-stage FinTech startup, using SQL, Python, Snowflake, and dbt to optimize billing, payments, and customer monetization.
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
Lead AI Engineer designs and implements AI solutions to optimize project delivery, mentors engineers, and integrates ML models into operations.
Leads AI/ML engineering for SEEK’s Pricing and Performance division, building scalable data pipelines and AI systems to analyze job ads and hirer behavior.
Designs and leads the end-to-end architecture for a GenAI underwriting transformation, integrating LLMs, RAG, and cloud services to build production-ready AI solutions for insurance workflows.
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
Nine’s Data Science & AI team within the Digital group builds AI-powered products that create real value for Nine’s business and audiences. As Engineering Manager, AI, you will lead the AI Engineering function,…
Lead a team to design and build scalable Azure-based data pipelines using Synapse, Fabric, and PySpark, while mentoring engineers and driving best practices in cloud 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.
Graduate role building cloud data platforms with Microsoft Fabric, Python, and SQL to power analytics and AI solutions.
Designs and builds scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, and Terraform to power analytics and digital experiences.
Lead Snowflake migrations and semantic modeling to build scalable analytics platforms, collaborating with global teams and integrating BI tools like Power BI.
Design, build, and deploy AI-powered solutions using LLMs and advanced analytics in a hybrid Sydney office role.
Builds and maintains on-prem ETL pipelines using SSIS/WhereScape and SQL, with Microsoft BI stack and Azure DevOps for data solutions.
Build and deploy AI/ML models for mission-critical government programs, integrating them into secure platforms and shaping certification policies.
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.
Design and scale data pipelines and analytics on Azure Databricks, ADF, and ADLS for Tennis Australia’s data platform.
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
Lead AI-driven product analytics at a design-led company, owning measurement roadmaps, shaping AI use, and mentoring data scientists to drive experiments and customer outcomes.
Designs and builds scalable Azure data pipelines using Synapse, PySpark, and Fabric to deliver government BI insights and data governance.
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