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Recruitment Hive

Open 2d

Data Science DevOps Engineer

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Summary

12+12 month contract in Sydney with Recruitment Hive, placing a Data Science DevOps Engineer with an Australian Federal Government agency (NDIA). The role builds, tests, deploys and maintains AI, machine learning and data science solutions on AWS, leading MLOps, DevOps and data engineering practices. Active NV1 security clearance is required.

Salary: $140 - $160 - inc Super - Weekly Pay Options

  • 12 + 12 month contract
  • Active NV1 security clearance required
  • Build, test, deploy and maintain AI, machine learning and data science solutions

Our client, an independent Federal Government agency responsible for implementing and administering the National Disability Insurance Scheme, require the services of a Data Science DevOps Engineer.

Key Duties and Responsibilities

  • Lead the design and delivery of engineering approaches that enable machine learning and data science solutions;
  • Provide technical leadership across AI engineering, machine learning engineering, DevOps and data engineering practices;
  • Identify opportunities to standardise common technical components across multiple products and prototypes, &
  • Lead the development of data preparation, feature engineering, data validation and pipeline approaches that support AI and data science delivery.

Skills and Experience Required

  • Demonstrated experience with Amazon Web Services (AWS) and the delivery of solutions into AWS that are Data Science, Machine Learning or AI in nature;
  • Demonstrated experience providing technical or engineering leadership for complex data science, machine learning or AI cloud-based solutions;
  • Demonstrated experience designing or implementing pathways from prototype or proof of concept through to production-readiness, operational deployment or sustainable product delivery;
  • Experience leading or coordinating technical specialists across one or more of machine learning engineering, DevOps, data engineering, AI engineering or cloud engineering, &
  • Strong understanding of engineering practices relevant to AI and data science delivery, including data pipelines, automated testing, deployment automation, monitoring, version control and reproducibility.

How to Apply

For a copy of the full job description, including the application instructions, please get in touch with Daniel at Recruitment Hive by clicking the Quick Apply button. Alternatively you can reach Daniel on (02) 6299 1006 to discuss further.

Please note that applications close on Thursday the 1st of October 2026 at midday. Recruitment Hive welcome late applications to be considered for future opportunities.

Job ID: DE679264 | LH-07979

We Value Diversity

The Recruitment Hive is a proud Equal Opportunity Employer. We recognise the value of diverse perspectives and experience and are committed to an inclusive workplace where everyone feels valued and respected for who they are. We encourage people with disability, indigenous, veterans and people of all backgrounds and abilities to express their interest in this role.

Skills

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