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Mlops Engineer

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AKUNA CAPITAL

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Location:
Australia , Sydney

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Responsibility:

  • Design, own and maintain the machine learning infrastructure, partnering with cross functional teams across the lifecycle of key ML initiatives
  • Own and drive the roadmap for Akuna’s machine learning infrastructure, tooling, and processes
  • Take a hands-on role designing, building, and maintaining platforms that enable efficient model development, training, deployment, monitoring, and governance
  • Establish best practices for reproducible ML workflows, model lifecycle management, CI/CD, observability, and production reliability
  • Operate and continuously improve ML infrastructure to ensure it is scalable, performant, reliable, and easy for researchers and engineers to use
  • Provide technical leadership and guidance to engineering and research teams adopting ML infrastructure capabilities

Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering or a related technical field
  • Minimum 3+ years full-time experience building, deploying, or operating machine learning infrastructure in production environments
  • Hands-on experience with ML infrastructure or data platforms such as Databricks or Spark
  • Strong programming skills in Python, C++, or both in Linux-based environments
  • Effective communication skills, with the ability to partner effectively across engineering, research, and business teams
  • Demonstrated ownership, technical leadership, and ability to define and execute a roadmap

Additional Information:

Job Posted:
May 20, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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