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Job Description

Easygo is seeking a Senior Machine Learning Operations (MLOps) Engineer to join their Data Science Team in Melbourne. The successful candidate will play a crucial role in enhancing the company's machine learning operations, delivering robust, scalable AWS cloud infrastructure and automation solutions. This role offers the opportunity to work with petabyte-scale data across global platforms, impacting millions of users.

Role involves:

  • Leading the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions.
  • Driving cloud infrastructure and architectural decisions using Terraform.
  • Implementing and maintaining CI/CD pipelines for model integration and deployment.
  • Building and optimising monitoring, alerting, and logging for model reliability.
  • Collaborating with data scientists and stakeholders to streamline workflows.
  • Providing mentorship to junior MLOps engineers and data scientists.

Requirements:

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

Role offers:

  • EAP access for you and your family
  • Access to over 9,000 courses across our Learning and Development Platform
  • Paid volunteer day
  • Two full-time baristas who will make your daily coffee, tea, fresh juices and smoothies for FREE!
  • FREE daily catered breakfast!
  • Massage Wednesdays
  • Team lunches and happy hour in the office from 4pm on Fridays
  • Fun office environment with pool tables, table tennis and all your favourite gaming consoles
  • 'Help Yourself' Cold Drinks Fridges and massive Snack Walls on every working level!
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