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Our client is a Federal department that looks after the the interests of National security. They are seeking an ML Ops Engineer for a 12 month contract based onsite in Canberra. This contract has 12 month extension options available. About the Role As an ML Ops Engineer, you will be pivotal in setting the overall ML Ops strategy for the organisation and managing complex projects. You will collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure that ML Ops initiatives align with industry standards and business goals. Your primary responsibility will be to build and maintain the ML Operations platform, leveraging your strong software engineering or data engineering expertise and exposure to contemporary Machine Learning practices and technologies.
The Successful Candidate
The ideal candidate will have experience with all parts of the MLOps lifecycle, including the registration, deployment, and monitoring of operational capabilities. You will deliver key platforms and integrations to enable self-service capabilities for Data Scientists, achieving continuous integration, continuous deployment, continuous training, and continuous monitoring.
If you have experience in at least two of the following areas, we would love to hear from you:
What is on Offer
This role offers a unique opportunity to work on cutting-edge ML Ops platforms specific to this client. You will be part of a dynamic team, working with open-source technology and modern computing infrastructure. The position provides a chance to make a significant impact by ensuring successful integration into enterprise software and collaborating with data scientists to ensure ML models are well tested and reliable.
Why partner with Whizdom?
We’re Whizdom. We view you as an extension of our strong, dependable brand and have differentiators which really are different! The Whizdom way:
Send an updated CV to the team at intel@whizdom.com.au or call Zarina for a confidential conversation on 0480 002 504. Applications close on Monday 14th April 2025.
ML Ops Engineer
| Job title : | ML Ops Engineer |
| Contract type : | Contract |
| Location : | Canberra |
| Sectors : | |
| Salary : | $160 - $185 per hour |
| Start date : | 2025-03-25 |
| Duration : | 12 months |
| Job Reference : | V-51051 |
| Contact name : | Zarina Fitzgerald |
| Contact email : | zarinaf@whizdom.com.au |
| Job published : | 3 days ago |
The Successful Candidate
The ideal candidate will have experience with all parts of the MLOps lifecycle, including the registration, deployment, and monitoring of operational capabilities. You will deliver key platforms and integrations to enable self-service capabilities for Data Scientists, achieving continuous integration, continuous deployment, continuous training, and continuous monitoring.
If you have experience in at least two of the following areas, we would love to hear from you:
- Software development with Python
- MLOps tooling such as MLFlow, Ray, Flyte, KubeFlow, Kserve, or an enterprise ML platform
- Building DevOps pipelines with GitLab CI/CD
- Kubernetes, OpenShift, Docker
- Data engineering and data wrangling
- Optimisation of models with high-performance frameworks like HuggingFace Candle, OpenVino, TensorRT, FasterTransformers
- Working with C++, Rust, or Go for production ML systems
What is on Offer
This role offers a unique opportunity to work on cutting-edge ML Ops platforms specific to this client. You will be part of a dynamic team, working with open-source technology and modern computing infrastructure. The position provides a chance to make a significant impact by ensuring successful integration into enterprise software and collaborating with data scientists to ensure ML models are well tested and reliable.
Why partner with Whizdom?
We’re Whizdom. We view you as an extension of our strong, dependable brand and have differentiators which really are different! The Whizdom way:
- We pay our contractors same day you submit your timesheet!
- We are Level 3, DISP certified and have signed the Veteran Employment Commitment and been awarded the highest level of compliance to this important initiative, proactively assisting veterans transitioning from the forces to civilian roles. We’ve been lucky enough to win industry awards for our high level of process compliance and are ISO 9001 certified. Our commitment to reducing Greenhouse Gas Emissions has been accredited in line with large global organisations.
- We value diversity and welcome applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability.
Send an updated CV to the team at intel@whizdom.com.au or call Zarina for a confidential conversation on 0480 002 504. Applications close on Monday 14th April 2025.