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Snr Machine Learning Engineer

Date: 13-Jan-2022

Location: Macquarie Park, Australia

Company: Singtel Group


About the role


An opportunity which offers impact, progression and purpose! Making a direct impact on our customers.


About the role:


The Artificial Intelligence and Machine Learning chapter mission is to make Data Science work at scale, and to build predictive applications. The Data Scientist is responsible for the development of capabilities to support the Data Science and Analytics communities within Optus, and to create intelligent applications that leverage AI and machine learning. . Functionally, the role is accountable for planning and executing initiatives using advanced analytics and data science (which includes but not limited to propensity modelling, AI, machine learning, mathematical optimisation, etc).


This role particularly supports the education and sharing modelling and analytical expertise with the wider analytics function. The role is responsible for mentoring the team and stakeholders to explain the data science process and data which is used to drive data science strategies for consumer group, the outcome of which is increase revenue.


Key responsibilities include:


  • Developing, implementing and supporting statistical analytics in order to support Network, Customer, Marketing and Sales for the Consumer and Small Business Markets. 
  • Ensuring that the analytics & modelling techniques being deployed, and the information being delivered by the Data Science team is of the highest accuracy and clearly identifies actionable insights and strategy recommendations, including regular updates to stakeholders of success. 
  • Own the development of modules within our MLOps Capability (Eagle) and Unified Analytics Record (UAR)
  • Executing new production requests for new Features and models in UAR.
  • Design and develop solutions that could increase productivity of Eagle users and automate processes pertaining productionsation of new feature and models.
  • Develop Modelling Optimisation such as identifying correlation in features, identifying overfitted or under-fitted model, feature reduction using rotational matrix (PCA) etc.
  • Assist other members of AI and ML chapters with development of innovative solutions such as trigger framework (Kestrel)
  • Assist in solving business problems by executing small PoCs to verify hypothesis and generating actionable insights
  • Managing stakeholders / projects and providing regular updates on progress and highlighting roadblocks to managers
  • Manage the establishment of an advanced analytical and modelling evaluation infrastructure, the upkeep of modelling data environment, and sharing modelling and analytical expertise with the wider Analytics community within Optus.


To be successful in the role this person must possess a unique skill set that includes:


  • Experience with Docker for production workloads, including creation, orchestration and maintenance of Docker images on cloud environments.
  • Hands-on work experience of 5+ years in technical data science and analytics role
  • Demonstrable end-to-end data science and analytics project life cycle experience with the ability to spot opportunities and drive them through to delivery
  • A working knowledge of advanced modelling techniques, hands on experience with AI and machine learning capabilities and algorithms and sound technical system knowledge and customer privacy legislation. 
  • Detailed knowledge and hands-on experience with Supervised and Unsupervised Machine Learning Algorithms
  • Hands-on experience with NLP techniques to generate insights from free text data e.g. survey data and/or chat data.
  • Hands-on experience and ability to code in multiple programming languages such as java, Scala, R, python and C/C++
  • Experience working in an Agile environment, specifically in a CI/CD/DevOps model, and the associated toolchain, e.g. git, Maven, Jenkins, Nexus, SonarQube


Optus’ vision is to be Australia’s most loved everyday brand with lasting customer relationships. A key pillar underlying this strategy is to create unique customer connections.


Ready to say Yes? Apply with confidence today.


Optus is a place where we let you do you. Whether you’ll be working in our corporate offices or in a retail store, we are a highly collaborative workplace, and offer a range of perks such as: ​


  • A competitive salary
  • Discounts on products and services
  • Ongoing training, mentoring and development opportunities
  • Up to five days of Volunteer Leave per year
  • Blended work options


We understand that flexibility means different things to different people. We are proud to offer a variety of options to work in different ways, such as flexible hours, partial remote working, job share and part-time. Please talk to us about how we can make this role work for you. ​Our flexible hybrid remote model lets our people work across home and one of our offices across Australia.


Curious about our culture? Go behind the scenes with our people by searching ​#OptusLife on LinkedIn.  ​


Please no recruitment agencies, we’ll be managing this role in-house. Any resumes submitted outside of our process will be deemed the sole property of Optus.


Please note, the Optus Talent Acquisition team is on leave over the holiday period. Candidates will be contacted from the 10th of January 2022 onwards.”