Join to apply for the Senior AI/ML Engineer role at Australia Post Join to apply for the Senior AI/ML Engineer role at Australia Post We’re looking for a Senior AI/ML Engineer to join our diverse, talented and innovative digital technology team who together are helping our customers and communities build a better future. Together, we design, build and maintain products, services and experiences that Australian's love and trust, while delivering a sustainable future for Australia Post, and you could be part of that. We're empowered to deliver for our teams and to delight our customers. We provide an inclusive and supportive environment that nurtures talented people, trusts our teams to deliver their best, and leverages modern work practices and technologies. It's an unexpectedly dynamic and collaborative culture that feels more like a start-up than a 213-year old icon. What you’ll deliver with us As our Senior AI/ML Engineer you will enable the delivery of various AI projects which are our strategic imperative. This is achieved by spearheading engineering and productionisation of advanced analytics, artificial intelligence and machine learning models, algorithms and pipelines to solve complex business problems in close collaboration with the data science teams. This role requires a deep understanding and experience of AI and ML, analytics engineering and MLOps principles. Reporting directly into the Manager of AI/ML Engineering you will contribute from data pre-processing to model training, evaluation, deployment, integration and monitoring. This includes applying best-practice AI/ML DevOps (aka MLOps) on our solutions while contributing to AI/ML engineering craft growth. This role requires a proactive approach to identifying and addressing potential challenges, ensuring the robustness and reliability of AI/ML models in production and integrated into wider SOP. You’ll also Develop production-grade AI/ML solutions ensuring compliance with the Enterprise Data and AI reference architecture and according to the Enterprise Data Governance standards and Responsible AI standards. Successfully maintain AI/ML assets and business solutions operating on Cloud and our AI/MLOps platform, ensuring model and solution efficacy and availability for the enterprise. Continuously explore new AI/ML technologies and methodologies and support rapid business value discovery ( i.e. piloting and prototyping) for AP to maintain a competitive edge. This includes experimenting with cutting-edge techniques and integrating them into the business. Productionise solutions that leverage AI/ML technologies to deliver business value through improved decision making, process simplification and optimisation, automation, and revenue generation. Ensure that AI/ML models are accurate and reliable. This involves rigorous testing, validation, and continuous monitoring to ensure models perform well under various conditions and do not produce erroneous results. Drive the efficient and sustainable use of Cloud resources and technologies ensuring the development and delivery of high-quality, reliable, efficient and optimised solutions, considering the full lifecycle impact and cost of the technology. About you We are seeking a someone who can support the development of pilot and PoC-grade assets depending on the business needs and agreed product grading. It is vital to be able to navigate our complex organisation with multiple cross-functional partners and stakeholders to be maintained. Strong practical experience in statistical data analytics and Machine learning is key as well as understanding of code versioning, collaboration, testing, reliability, and accessibility, technologies and standards. If you are excited to work with GenAI all the way to productionalisation working in an enterprise environment, then this is a good opportunity for you. You’ll also need Proven experience developing productionised, scaled, maintained and monitored AI/ML solutions and models, leveraging MLOps. Experience using Google Cloud Platform or other equivalent cloud developer services for Data Science. Skilled in coding (Python preferred), or other object-oriented language as well as software engineering techniques. Skilled in data pre-processing, feature selection, SQL (BigQuery), scripting and ETL approaches. Strong understanding of data and machine learning orchestration and workflow pipeline engineering, development and deployment technologies. Practical experience with ML Ops governance standards for sustainable and scalable ML maintenance. Experience using enterprise-gradeAI/ML platforms such as VertexAI, AWS Sagemaker or AzureML is advantageous. Strong understanding of ML and AI techniques such as supervised and unsupervised learning, timeseries prediction, ensemble learning, NLP, Generative AI, Agentic AI, Predictive AI is all relevant. Computer Science background who has developed into a Senior AI/ML engineer or experience working in Data Science with exposure to a production environment. How we’ll deliver for you We deliver on our values of Trust, Inclusivity, Empowerment and Safety every day. They’re the TIES that bind our team together. Enjoy a generous salary package and company benefits! We’re delivering together At Australia Post, we acknowledge the TraditionalCustodians of the land on which we operate, live and gather as employees. We believe our business should reflect the diverse communities we operate in and are proud to be an inclusive workplace for people from all walks of life. We encourage applicationsfrom people of all ages, genders and backgrounds including Aboriginal and Torres Strait Islander peoples, People with Disability, LGBTQIA and Refugees. We are one of the largest organisations in Australia to successfully achieve Disability Confident Recruiter status. We are committed to providing an inclusive and barrier-free recruitment process and workplace for those living with a disability and are committed to reviewing and removing bias in our processes to create a gender-equitable recruitment experience and workplace. If you have any questions about accessibility, please contact our Diversity & Inclusion team on inclusivecareers@auspost.com.au Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Consumer Services Referrals increase your chances of interviewing at Australia Post by 2x Get notified about new Machine Learning Engineer jobs in Cremorne, Victoria, Australia . 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