Hybrid AI Engineer – 9 Month Fixed-term Contract

at ANZ

• Job title: AI Engineer – 9 Month Fixed-term Contract
• Job type: Contract
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: BigQuery, Cloud, Google Cloud Platform, Open Source, Python
• Location requirements: Hybrid, Melbourne, Australia

About the role

• AI Engineer supporting analytic methods for Generative AI models in ANZ's Complaint Uplift Program. Collaborating with teams to enhance complaint quality management processes.

Responsibilities

• Collaborating to support the achievement of project or business outcomes such as process mapping and change transition as well as the technical implementation of the data and AI processes.
• Working alongside Teams in Customer Resolutions, Data Portfolio, ANZ*Plus, Assurance as well as key support partners in Risk, Technology and Operations.
• Actively participating in feedback processes to develop and refine solutions leveraging large language models.
• Establishing the analytic development process to continuously refine these models and deploy new models/model versions in a controlled and measured way, including establishing best practices for change management.
• Addressing and solving complex business issues using large amounts of data (structured and unstructured).
• Understanding the application of Generative AI in a cloud data & analytic eco-system.
• Designing, building, deploying, monitoring, and assessing relevant models for implementation as AI Agents in the complaints management value chain.
• Identifying data from a variety of sources to combine, synthesize and analyze to support complaints quality management processes.

Requirements

• Good understanding of the Banking system and products, service, channels in support of the understanding of the customer experience that led to the Complaint
• Highly desirable to have good knowledge of Complaints management processes, Quality Assurance processes and the relevant regulatory environment.
• Desirable to have good domain knowledge of ANZ systems
• Strong customer lens with a bias towards safety, consistency and fairness in how AI is applied to the process.
• Solid understanding of predictive modelling, pattern recognition, clustering, supervised and unsupervised learning
• Proven experience in applied probability and statistics
• Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation
• Experience in using open source technologies for Data Science, specifically Python and key supporting packages/libraries and development environments
• Experience in using Generative AI to solve real business challenges, ideally with multiple model families (e.g. Gemini, Anthropic, OpenAI, Meta)
• Experience with Retrieval Augmented Generation (RAG) frameworks, and best practices for generating and using embeddings.
• Use of Google Cloud Platform services such as Vertex AI and related data management services (BigQuery, CloudSQL etc).
• Ability to understand and test trade-off for model quality, performance and cost management
• Strong ability to translate model outputs and insights into practical business recommendations
• Ability to effectively communicate and present to all stakeholders (technical and non-technical)
• Data Collection and Cleaning - Leads teams in identifying data sources for large projects; extensively knowledgeable in best-practice data cleaning techniques and handling complex data issues.
• Feature Engineering - Masters a wide range of techniques and optimizes feature engineering processes.
• Machine Learning Modelling - Selects appropriate modeling techniques, translates business requirements, and systematically improves model performance.
• Model Evaluation and Validation - Ability to assess and monitor the performance of AI solutions, and assess and address drivers of poor performance.
• Data Visualisation - Draws insights from data, supports decision making, and automates data visualization.
• Soft Skills: Communication, Problem Solving, Planning & Prioritisation, Critical thinking.

Benefits

• access to health and wellbeing services
• discounts on selected products and services from ANZ