Key Outcomes and Accountabilities The aim of this role is to: * Implement cloud-based data science solutions that support large-scale data processing and Machine Learning (ML) workflows. * Enable integration of Artificial Intelligence (AI) and ML models into production systems, ensuring scalability, governance, and performance monitoring. * Collaborate with data analysts, data governance, and business units to deliver data products that support predictive analytics, natural language processing, and other AI-driven use cases. * Establish and maintain robust data governance, metadata management, and model monitoring frameworks to ensure data integrity, compliance, and responsible AI practices. * Provide technical advice and thought leadership on emerging technologies in data science and AI, identifying opportunities for innovation and efficiency improvements. * Support the continuous improvement of data engineering standards, including automation, CI/CD pipelines, and reusable components for AI/ML deployment. * Support and maintain data pipelines and ETL processes that ensure reliable, timely and secure access to data for reporting, analytics, and ML workflows. Candidate Attributes * * Demonstrated experience in building scalable data solutions using Python and SQL. * Proficiency in cloud data platforms (e.g., Snowflake, or similar) and data warehousing concepts. * Strong understanding of machine learning lifecycle management (data preparation, feature engineering, model deployment, monitoring). * Strong understanding of Generative (Gen) AI, Agentic Systems, and AI Agents and be able to implement and develop scalable systems from proof of concept to production. * Ability to translate complex business requirements into robust technical solutions that support AI and analytics outcomes. * Knowledge of MLOps and CI/CD practices for deploying and maintaining AI/ML models at scale. Why Join QBCC? * Generous 12.75% superannuation contribution with the option to salary sacrifice * Access to leave entitlements (with 17.5% leave loading) and accrual of flex time * Opportunities for career development, training and mentoring * A friendly, collaborative and supportive workplace culture * Fitness Passport How to applyTo apply for this exciting opportunity, please submit your resume and a written statement (maximum 2 pages) on how you have demonstrated the capabilities outlined in the Candidate Attributes section of the position description.