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Senior Machine Learning Operations Engineer

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Easygo Gaming

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Location:
Australia , Melbourne

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Passionate about building and deploying Machine Learning pipelines at scale to drive business value? Join our growing Data Science Team as our first Senior Machine Learning Operations (MLOps) Engineer! As a Senior MLOps Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation. In your role with us, you will enhance our machine learning operations (MLOps), delivering: robust, scalable AWS cloud infrastructure and automation solutions, that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users.

Job Responsibility:

  • Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring
  • Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform
  • Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery
  • Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance
  • Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts
  • Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure

Requirements:

  • 5+ years of experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • Expert proficiency in cloud infrastructure management using Terraform
  • Deep hands-on experience with major cloud platforms (AWS, Azure or GCP)
  • Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads
  • Proficiency with containerisation technologies (Docker, Kubernetes)
  • Advanced proficiency in Python and scripting for infrastructure automation

Nice to have:

  • Experience within iGaming
  • Experience working with large volumes of data, preferably at petabyte-scale
  • Extensive experience with distributed computing and big data technologies (e.g. Spark, Hadoop)
  • Familiarity with monitoring and observability platforms
  • Knowledge of data security, governance, and compliance practices relevant to ML operations
What we offer:
  • In-house baristas serving free coffee, tea, fresh juices, and smoothies
  • Daily catered breakfast and regular company-wide events
  • Snack walls and drink fridges on every floor
  • Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator
  • Access to our Employee Assistance Program for you and your loved ones
  • 9,000+ courses on our Learning & Development platform
  • One paid volunteer day per year
  • Weekly Wednesday massages by professional masseuses
  • Team budgets for lunches and activities to celebrate achievements
  • Social sports teams and participation in Corporate Games
  • Easygo branded swag
  • Birthday and work anniversary gift vouchers, plus a chance to win prizes
  • Company-wide talks with key partners such as Everton FC and Team Sauber in Formula 1
  • Office visits from big-name streamers
  • Meet Ambassadors like Alex Pereira, Israel Adesanya
  • Ballots for exclusive tickets to events like Formula 1, UFC, and more sporting and music events

Additional Information:

Job Posted:
January 11, 2026

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