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Data Engineer (ML Ops)

Apply now Job no: 53704929
Brand: Australia Post
Categories: Corporate Services
Work type: Permanent Full Time
State: VIC
Location: Melbourne

Delivering 1.5 million parcels a day, having a workforce of over 35,000 and running Australia’s largest retail network - our business generates 1 billion data points a day from scanners, sorting machines, payroll, retail POS, finance systems and vehicle GPS. We receive close to 2 million inbound customer contacts a year and over 2 million NPS surveys.


Our Data Science team partners closely with business stakeholders to solve problems using advanced analytical techniques including statistical analysis and machine learning. They produce analytical solutions (models, visualisations, findings) and other interventions that improve decision making and business performance.


What it’s like to work here
A career at Australia Post Group can lead down many paths. There are a variety of roles to suit all sorts of skills and you will also have the chance to learn from the best people; everyone, everywhere, every day. For us, an engaging, enjoyable workplace is the foundation for great work which is why your attitude and your passion is just as important to us as your experience.


What does the role involve?
Reporting to the Data Engineering Manager, you’ll work closely with our Data Scientists and technology teams to deliver big-data integration and machine learning solutions that enable data-driven automation for improved customer and commercial outcomes. You’ll also help to onboard our new Machine Learning platform, shape our ML Ops practice for the efficient, reliable, and scalable management of our enterprise models.  Working with some of the largest data sets in the country, this role will also look to deliver improvements and maintenance of the data platform to ensure the smooth flow of quality and secure data is maintained.

You’ll also have the responsibility to 

  • Execute the Data Science & Data Commercialisation strategy, aligned to our Enterprise Strategy
  • Grow our Machine Learning Practice and through the development of modern MLOps pipeline
  • Ensure the reliable delivery of enterprise models, through disciplined management and maintenance
  • Operate our data engineering platform to deliver data solutions that enable the enterprise to deliver its strategic goals.
  • Provide regular contribution to technology innovation in the data science and data engineering domain
  • Identify and improve legacy processes through automation and re-engineering
  • Provide technical expertise to Data Ops and Data Commercialisation teams

What are we looking for?

  • Bachelor's degree in Engineering, Computer Science or related IT qualification
  • Experienced in Object-Oriented programming languages, including Python, Java, as well as shell scripting
  • Experienced level SQL and some database administration and query optimisation knowledge
  • Experience building scalable ML data pipelines for training and inference
  • Experience building scalable ML model hosting and monitoring solutions
  • Understanding of modern microservice architectures for Machine Learning
  • Experience operating in a cloud-first environment, preferably using GCP
  • Intermediate understanding of software development principles     


Benefits & Culture
We offer an attractive salary and benefits in an equal opportunity workforce. We encourage applications from people of all ages, including indigenous Australians and those with a disability.


Together, our differences make us stronger
With a reach across Australia and beyond, we’re building a workforce that’s as diverse as the communities we serve. Learn more about how we're supporting inclusion at Australia Post, here. If you require adjustments at any stage of the recruitment process, please reach out to the Talent Acquisition Diversity Team at inclusivecareers@auspost.com.au.    


Australia Post welcomes applications from Aboriginal and/or Torres Strait Islanders. Check out this short video to find out how we acknowledge and pay our respects to the Traditional Custodians of the land we operate on.      

Ready to join the transformation of Australia Post?
Please click 'Apply Now' and please remember to upload your details and your most recent resume. #LI

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time

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