Automation Engineer (Gen AI)

About Us

 
At ANZ, we’re shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

As an Automation Engineer, you will be responsible for developing and deploying scalable, AI-powered applications that leverage state-of-the-art generative AI models. You will work closely with our data scientists, ML engineers, and product teams to bring advanced AI and ML solutions to production.
 
You will also be responsible for:
 

• Develop and Integrate AI Models: Design, implement, and deploy generative AI models and Machine Learning solutions to meet specific business needs.
• Web API Development: Build, maintain, and document RESTful and GraphQL APIs for seamless integration of AI services with web and mobile applications using Flask, fastapi etc
• Model Deployment and Monitoring: Implement, deploy, and monitor ML models on cloud platforms or on-premise environments using frameworks like TensorFlow, PyTorch, or Hugging Face. Experienced in Kubernetes
• Data Processing and Management: Preprocess large datasets, manage data pipelines, and optimize data storage for AI/ML applications.
• Collaborate with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to design scalable solutions and deploy AI-driven features.
• Optimize Code for Performance: Write clean, maintainable, and efficient Python code with an emphasis on scalability and performance.
• Research and Experimentation: Stay up-to-date with the latest trends in Generative AI, LLMs, and ML, and proactively experiment with new technologies to improve current processes.

 
Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.
 
Role Type: Permanent
Role Location: Solaris One Building, 130 Dela Rosa St., Legaspi Village, Makati City
Work Hours: Australian Business hours, Dayshift schedules weekends off

What will you bring?

To grow and be successful in this role, you will ideally bring the following:
 

• • Proven experience in Python development.
  • Proven experience with Generative AI models (e.g., GPT, Stable Diffusion) and Machine Learning frameworks like TensorFlow, PyTorch, or Hugging Face.
  • Experience with Web APIs: RESTful API design, GraphQL, or FastAPI, Flask/Django, and best practices for security and scalability.
  • Cloud Platforms: Familiarity with AWS, GCP, or Azure for deploying and scaling ML models.
  • Experience with RAG (Retrieval-Augmented Generation) and integrating AI with external data sources.
  • Knowledge of Natural Language Processing (NLP) techniques and tools for text analysis.
  • Familiarity with MLOps practices for model lifecycle management.
  • Experience with experiment tracking tools like MLflow or Weights & Biases
  • Excellent problem-solving abilities, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders

 
 
You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.

So why join us?

 
ANZ provides banking and financial services and operates across more than 30 markets. We are among the top 4 banks in Australia, the largest banking group in New Zealand and Pacific, and among the top 50 banks in the world. With more than 2,000 people, our team in Manilla play a critical role in executing our strategy and deliver what matters most to our customers and the bank. We continue to grow our professional services capabilities to support our customers around the world.  Our expertise and services make us a bank, and our people, purpose, and culture makes us ANZ. We’re proud of the inclusive culture we’re renowned for where 90 percent of our people feel they belong. 
 
We provide our people with a range of benefits including access to health and wellbeing services.  We also have flexible working options so that our people can ‘make work, work for them’.
 
We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
 
To find out more about working at ANZ visit  https://www.anz.com/careers/. You can apply for this role by visiting ANZ Careers and searching for reference number 83974

Job Posting End Date

02/01/2025 , 11.59pm, (Melbourne Australia)