Data AI Engineer at Westpac Group

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Data Processing, Gen AI Solutions, Cloud Platforms, Containerization Technologies, Statistical Analysis, Data Visualization, Python, ML Libraries, Big Data Technologies, A/B Testing, Experimental Design, Software Development Best Practices, Version Control, CI/CD

Industry

Financial Services

Description

How will I help? The role works within delivery squads focusing on building and operationalizing AI applications and ML models that will further enhance our service and product offerings. It's an exciting time for AI at Westpac and you will be a part of the rapidly growing and always exciting DDAI (Data, Digital, & Artificial Intelligence) team. The role will be responsible for designing, developing, and deploying machine learning models and gen AI applications that solve complex problems and enhance our products and services. This role will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into production systems. Role responsibilities include: Design and implement machine learning models and algorithms to address business challenges. Preprocess and analyse large datasets to extract meaningful insights. Implementation of data processing patterns, pipelines and APIs for batch, real-time and streaming, Implementation of gen AI solutions using various frameworks, prompting techniques, RAG patterns, fine tuning and testing of LLM & gen AI applications, Deploy machine learning models into production environments and monitor their performance. Collaborate with cross-functional teams to integrate gen AI, machine learning or hybrid solutions into products and services, Stay up to date with the latest advancements in gen AI, machine learning and big-data processing and apply new techniques to improve existing models, Document code, processes, models, and experiments to ensure reproducibility and knowledge sharing. Troubleshoot and resolve issues related to model performance and deployment. What’s in it for me? You’ll play a significant part of the future of a business that has been around for over 200 years. Our purpose is to create better futures together. So, we’ll back you in the development of your career, internal career prospects, and flexible working. You’ll also keep learning to grow your career, backed by a fantastic team of people with a can-do, supportive structure. Whatever shape your family takes, we offer generous paid and unpaid parental leave for your nominated primary and support carers. This includes leave to organise adoptions, surrogacy, and foster care arrangements. And we continue to pay your super contributions while you take all the time you need to get your new family settled. What do I need? Tertiary qualified in Computer Science, Engineering, Mathematics, or a related quantitative field. Proven experience in machine learning (ML), including model development and deployment. Knowledge of statistical analysis and data visualization techniques. Deep experience with cloud platforms (AWS, GCP, Azure) and containerisation technologies (Docker, Kubernetes). Understanding of software development best practices, including version control (Git) and CI/CD. Excellent problem-solving skills and attention to detail. Advanced programming skills in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn. Familiarity and practical experience designing gen AI application using applicable patterns, e.g. prompting, agents based, using frameworks such as Llama Index, LangChain, AutoGen, DSPy, etc. Experience with big data technologies like Hadoop, Spark, or similar for data processing and feature engineering, plus A/B testing and experimental design. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates! Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. Tailored learning and development opportunities to help your grow your career within the bank. Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button. Please note that our closing dates are subject to change - thanks! We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website.

Responsibilities

The role involves designing, developing, and deploying machine learning models and AI applications to enhance products and services. It requires collaboration with cross-functional teams to integrate solutions into production systems.