Machine Learning Engineer at ENSCO, Inc.
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

11 Jan, 27

Salary

80000.0

Posted On

13 Oct, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

About the Opportunity:

DSTG is currently experimenting and building capability with Large Language Models (LLMs) and Computer Vision (CV) techniques at large scale for the purpose of assessing their applicability to the Defence context.

Existing initial demonstrators have shown great promise and DSTG is now in need of four machine learning engineers to further develop, accelerate and mature these capabilities

Responsibilities

  • working with leading-edge hardware and ML technologies demonstrating the art of the possible and working toward bringing ML based technology into the Defence domain in support of Defence’s mission and capabilities.
  • Was part of an integrated team spanning ICT professionals and engineers, DSTG Researchers, Defence Operators and Analysts.
  • They will work as part of a team designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments and demonstrating outcomes and ML based opportunities to the Defence stakeholders.
  • They will be working with DSTG data sets to create models, perform statistical analysis, to train and retrain systems to optimise performance with a goal to build efficient self-learning applications and contribute to Defence’s advancements in artificial intelligence.
  • Study and transformation of data science prototypes.

Qualifications


  • Design of machine learning systems.
  • Development of machine learning applications according to requirements.
  • Selection of appropriate datasets and data representation methods.
  • Performance of statistical analysis and fine-tuning using test results.
  • Executing train and retrain systems as necessary.
  • Extend existing internal DSTG ML libraries and frameworks.

Skills

  • Experience in software development & machine learning.
  • Experience in the use of machine learning methods on multi-GPU platforms.
  • Extensive Linux knowledge.
  • Ability to communicate effectively and tailor presentation style and messaging to be relevant to a range of audience level of knowledge, skills and experience.
  • Sound interpersonal skills including the ability to work as a productive member of a team and communicate effectively with colleagues and clients across multiple organizational levels.
  • Effective written and verbal communication skills.
  • Respond strongly and positively to challenging work and deadlines

Internal life @Maltem


A community of practitioners that you can contact to share your knowledge

Lunch and coffee catch-up to have some chit-chat with the community

  • An after work every two months to gather the community and get to know better eac
Responsibilities

About the Opportunity:

DSTG is currently experimenting and building capability with Large Language Models (LLMs) and Computer Vision (CV) techniques at large scale for the purpose of assessing their applicability to the Defence context.

Existing initial demonstrators have shown great promise and DSTG is now in need of four machine learning engineers to further develop, accelerate and mature these capabilities

Responsibilities

  • working with leading-edge hardware and ML technologies demonstrating the art of the possible and working toward bringing ML based technology into the Defence domain in support of Defence’s mission and capabilities.
  • Was part of an integrated team spanning ICT professionals and engineers, DSTG Researchers, Defence Operators and Analysts.
  • They will work as part of a team designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments and demonstrating outcomes and ML based opportunities to the Defence stakeholders.
  • They will be working with DSTG data sets to create models, perform statistical analysis, to train and retrain systems to optimise performance with a goal to build efficient self-learning applications and contribute to Defence’s advancements in artificial intelligence.
  • Study and transformation of data science prototypes.

Qualifications


  • Design of machine learning systems.
  • Development of machine learning applications according to requirements.
  • Selection of appropriate datasets and data representation methods.
  • Performance of statistical analysis and fine-tuning using test results.
  • Executing train and retrain systems as necessary.
  • Extend existing internal DSTG ML libraries and frameworks.

Skills

  • Experience in software development & machine learning.
  • Experience in the use of machine learning methods on multi-GPU platforms.
  • Extensive Linux knowledge.
  • Ability to communicate effectively and tailor presentation style and messaging to be relevant to a range of audience level of knowledge, skills and experience.
  • Sound interpersonal skills including the ability to work as a productive member of a team and communicate effectively with colleagues and clients across multiple organizational levels.
  • Effective written and verbal communication skills.
  • Respond strongly and positively to challenging work and deadlines

Internal life @Maltem


A community of practitioners that you can contact to share your knowledge

Lunch and coffee catch-up to have some chit-chat with the community

  • An after work every two months to gather the community and get to know better eac
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