Lead AI Platforms Engineer at Bendigo Adelaide Bank
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

29 Aug, 25

Salary

0.0

Posted On

29 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Google, Computing, Artifactory, Natural Language Processing, Aws, Technical Leadership, Nlp, Scripting Languages, Cloud, Software, Kubernetes, Gitlab, Ml, Machine Learning

Industry

Information Technology/IT

Description

“IT BEGINS AT BENDIGO BANK”

We’ve never been ‘just a bank’. Just like you should never be ‘just an employee’. We’re united in our belief that in banking, better can be bigger, and together we’re making it happen.

Responsibilities

IN THIS ROLE YOU’LL GET TO…

  • Plan, design, deliver and support Artificial Intelligence (AI) platforms and frameworks.
  • Deliver operational platforms and patterns as foundations for the journey with AI, with high levels of automation, standardised patterns supported for re-use within a continuously maturing operating model.
  • Provide leading inputs into architectural roadmap, service strategy, and technology target state for future vision for Service.
  • Provide technical leadership to a team of engineers. Mentor others and develop technical talent.
  • Educate teams on AI capabilities and utilising the capabilities in day-to-day practices.

WHAT YOU’LL BRING TO THE ROLE

You’ll be passionate about AI and are a Technical Lead/Lead Engineer who wants to stay close to tech whilst providing technical leadership to a team.

To be successful in the role you will have:

  • Expert technical background/understanding in Machine Learning (ML), Artificial Intelligence (AI)/GenAI solutions, Natural Language Processing (NLP), Chatbot, or Large Language Model (LLM) Engineering as well as Cloud, Computing, Software or Infrastructure Engineering.
  • Proven experience leading delivery of cloud deployments and AI platform solutions at scale ideally in regulated industries.
  • Thorough understanding of Cloud Infrastructure, AWS or GCP, CI/CD tools (such as Gitlab & Artifactory) and scripting languages such as Python.
  • Experience with cloud native application deployment and management using Kubernetes and Helm.
  • Hands on experience with tools such as AWS Bedrock or Google Vertex AI Studio and/or AI Notebooks (Jupyter, VSCode or Google NotebookLM) will be highly desirable.
  • You’ll have the ability to work with various stakeholders, have a positive mindset, and you can adapt to change and lead others with confidence.
Loading...