Data Science DevOps Engineer

The Recruitment Hive Pty Ltd; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

The Recruitment Hive Pty Ltd is seeking a Data Science DevOps Engineer to lead the design and delivery of AI and data science solutions in production. The role requires technical leadership across ML, DevOps, and data engineering with a focus on scalable data pipelines and reproducible deployments.

You will coordinate specialists, standardise components, and drive production readiness from prototypes, while ensuring robust testing, monitoring and automation across cloud-native environments.

Qualifications

• Experience delivering Data Science/ML on AWS in production.
• Technical leadership across ML/AI, DevOps and data engineering.
• Proven ability to move prototypes to production-ready deployments.
• Experience coordinating specialists across ML, DevOps, data engineering and cloud teams.

Responsibilities

• Lead 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

AWS

MLOps

Data pipelines

DevOps

Leadership

Cloud architectures

Education

Bachelor's in CS/Engineering

Tools

Python

Docker

Kubernetes

Git

Terraform

Job description

• 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.

Please note that applicationsclose on Thursday the 1st of October 2026 at midday.

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.