Data Scientist & AI Engineer
We're seeking an experienced Data Scientist & AI Engineer to deliver end-to-end data engineering, MLOps and technical discovery in support of custom AI solutions for a major mining industry client. This role focuses on building feature pipelines, processing large-scale datasets, and deploying machine learning models to help optimise mine operations.
This is an exciting opportunity for a senior data professional to play a key role in shaping enterprise AI and ML capability while working alongside data science teams, business stakeholders and platform integration partners.
WHAT'S ON OFFER
- Initial 6-month rolling contract
- $1,000 per day inclusive of super
- Perth-based chance
- Work within a large-scale mining industry AI and data programme
THE ROLE
Working closely with data science teams, technical leaders, business stakeholders and platform partners, you will deliver end-to-end data engineering and MLOps capability to support custom AI solutions across mine operations.
Key responsibilities include:
- Design and build robust data feature pipelines to support machine learning models and AI use cases
- Process large-scale datasets using PySpark and cloud-based object storage to enable data science initiatives
- Conduct data discovery, dependency mapping and scope definition for AI data migration and platform integration
- Establish and optimise MLOps lifecycles, including CI/CD pipelines and release processes using Azure DevOps
- Build custom Docker images and deploy containerised services for machine learning models
- Audit existing deployments and produce comprehensive technical documentation for previously undocumented solutions
- Engage with key stakeholders to present model results and data visualisations, and ensure seamless integration with downstream Power BI and Power Apps platforms
THE COMPANY A leading mining industry organisation is seeking an experienced Data Scientist & AI Engineer to support the delivery of custom AI and machine learning solutions across its operations. Operating within a complex data and analytics environment, this organisation is investing in modern, scalable and well-governed AI capability to support critical operational decision-making and future technology initiatives.
SKILLS & EXPERIENCE
- Extensive background in Data Engineering or Machine Learning Engineering, with deep technical expertise in Azure and Databricks
- Advanced proficiency in Python and PySpark for complex data processing and writing optimised notebooks
- Proven experience with MLOps, with a clear understanding of the end-to-end AI/ML lifecycle and model deployment
- Hands-on experience with containerisation (Docker) and CI/CD release processes via Azure DevOps
- Familiarity with large-scale object storage, SQL, and streaming data into visualisation tools such as Power BI and Power Apps
- Strong analytical capability for data discovery, fact-finding and scoping technical requirements
- Proven consulting capability, with the ability to present complex model results to non-technical stakeholders
- Official certifications in Microsoft Azure and/or Databricks are highly desirable
- Previous experience within mining, resources or other large, complex enterprise environments will be highly regarded
Please note: You must have Full Working Rights in Australia and be based in Perth or willing to work in a hybrid arrangement.
To apply, click the link and upload your current resume in Microsoft Word format (.doc or .docx), or send a copy of your CV to
[email protected] for a confidential discussion.
Please note: Only suitable candidates will be contacted regarding this opportunity.
📌 Data Scientist & AI Engineer (Perth)
🏢 Full Circle Partners
📍 Perth