Machine Learning Engineer

1 month ago

Melbourne, Victoria, Australia Sportsbet Full time

About Us

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

With a team of over 1,300 members at Sportsbet and part of the Flutter Group, we're a true global player. Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools.

About the Role

The Data Platforms Data Engineer is a key role within Data Platforms, responsible for delivering innovative 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 cutting-edge customer-facing ML models and optimizing their performance, along with delivering key components back into our international Flutter brands for wider use.

Key Responsibilities

  • Project Delivery: Translate Data Science experiments into hardened production solutions, including robust feature engineering, model scoring/inference, and production monitoring. Set up necessary feature pipelines, CI/CD pipelines, and advocate for best engineering practices within the team. Lead the estimation of delivery effort and timeline for taking ML solutions to production.
  • Platform Operations: Optimize models/solutions to ensure we support our service levels and minimize spend. Support what we build - take ownership of production issues, working with stakeholders through to resolution. Identify and manage ML operational risks. Performance-tune and optimize across our platforms to ensure optimal usage of resources.

About You

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

The Perks

  • 25 days annual leave.
  • 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.

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