ASD6 & EL1 Machine Learning Engineer
at Australian Signals Directorate ASD
Melbourne, Victoria, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 19 Jul, 2024 | USD 93606 Annual | 19 Apr, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
OUR IDEAL CANDIDATE
We are seeking applicants who:
- Are passionate about operational machine learning systems and its potential to contribute to ASD’s mission.
- Are passionate about applying software engineering and DevOps practices to management of machine learning systems.
- Have an understanding of machine learning concepts and algorithms.
- Have the ability to learn new technologies quickly.
- Have the ability to think critically and solve problems.
- Are able to communicate with both technical and non-technical people.
- Are motivated to learn and develop their skills.
Candidate Information Pack - Word Opens in new window
Candidat
Responsibilities:
As an MLOps Engineer at ASD, you can expect to:
- Design, develop and maintain production MLOps platforms specific to ASD.
- Deploy, monitor and troubleshoot machine-learning models in production environments.
- Design and implement MLOps pipelines for deploying machine-learning models to production.
- Review and optimise production machine-learning code.
- Work with open-source technology and modern computing infrastructure.
- Work with other engineers to ensure successful integration into enterprise software.
- Work with data scientists to ensure that machine-learning models are well-tested and reliable.
- Stay up-to-date on the latest machine learning technologies and best practices.
As an ASD6 / EL1 you will be expected to:
- Negotiate and influence stakeholders to support successful development, deployment and integration of ML systems and tools.
- Provide technical leadership and mentorship to junior engineers to plan, design, document, prototype and build complex ML systems and tools.
- Communicate confidently and clearly with technical and non-technical audiences.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Melbourne VIC, Australia