Machine Learning Solutions Engineer

3 weeks ago

Melbourne, Victoria, Australia Sportsbet Full time

About Us

Sportsbet is a pioneering Australian e-commerce business in the online wagering sector, bringing excitement to over 2 million Australians. We achieve this by embracing our values to create an innovative entertainment brand, trailblazing products and best-in-class platforms that deliver exceptional experiences to our customers.

We have over 1,300 team members at Sportsbet but as part of the Flutter Group, we're a true global player.

Committed To Responsible Gambling

Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools.

We're proud to be the leaders in responsible gambling in our industry, not just locally, but globally.

About the role

The ML Data Engineer is a crucial role within Data Platforms, responsible for delivering cutting-edge and sustainable data-driven solutions to contribute to Sportsbet's competitive advantage in the Machine Learning domain.

This is an exciting opportunity within our industry-leading Data Science team, delivering advanced customer-facing ML models and optimising their performance, along with delivering key components back into our international Flutter brands for wider use.

Key responsibilities include:

  • Project Delivery:
    • Translating Data Science experiments into hardened production solutions, including robust feature engineering, model scoring/inference, and production monitoring.
    • Setting up necessary feature pipelines, CI/CD pipelines.
    • Advocating for best engineering practices within the team.
    • Leading estimation of delivery effort and timeline for taking ML solutions to production.
  • Platform Operations:
    • Optimising models/solutions to ensure we support our service levels and minimise spend.
    • Supporting what we build - taking ownership of production issues, working with stakeholders through to resolution.
    • Identifying and managing ML operational risks.
    • Performance tuning and optimisation across our platforms to ensure optimal usage of resources.

About You

  • Solid development experience in a cloud-first, data-centric organisation.
  • Solid software development experience preferably Python, Java.
  • Experience in building and maintaining solutions running in production environments at scale.
  • Experience with Feature Engineering and ML concepts and delivery.

Estimated Salary: AU$120,000 - AU$150,000 per annum, depending on experience.

Benefits

  • A competitive salary.
  • Genuine flexible and remote working policy with a $1050 work from home office allowance.
  • Tailored career development programs.
  • Discounted gym memberships, free breakfast, loads of event and conference tickets.
  • Access to our Employee Assistance Program and a Circle In membership.
  • Industry-leading Parental Leave support program with 26 weeks paid leave for Primary Carers and no wait time. We also have a progressive return to work benefit for your first 6 months back: come back for 3 days, get paid for 4; come back for 4 days, get paid for 5.

Diversity, Equity & Inclusion

We're an inclusive employer who welcomes you for who you are, as you are - so, if you require adjustments to the recruitment process, please let us know in your application or contact us if you'd like to discuss this in more detail.

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