• Territory degree and/or equivalent experience of 5 years or more in ICT Commercial/ federal government procurement.
• Strong understanding of Commonwealth Procurement Rules (CPRs)
• Experience in Commonwealth of Australia procurement and tendering processes of varying complexity, including but not limited to understanding of tender preparation, evaluation, contract formation, negotiation and selection.
• Understanding and demonstrated experience in procurement of goods and services using panel arrangements, the Indigenous Procurement Policy, limited tender and open tender approaches to market.
• Demonstrated experience in the preparation of procurement documentation including, source justification, procurement risk assessment, statements of work, procurement and contracting documentation, and record keeping.
• Demonstrated experience liaising with a diverse range of stakeholders including ICT professionals and vendors and the ability to work independently and prioritise work accordingly.
• Maintain the highest degree of probity and discretion in respect to all procurement undertaken.
• Ability in developing a procurement framework for the organisation including templates and supporting material.
• Provide analytical support to projects to ensure they are planning procurement activities appropriately.

Candidates are to provide an overview which is no more than two (2) A4 pages which demonstrates their experience and knowledge as an ICT Procurement and Contract manager. This overview page should demonstrate what the candidate would bring to the agency as an ICT Procurement and Contract Manager.

What the role offers:

• Up to $2000/day contracting rate for the right candidate
• A fun, collaborative and productive team.

Successful applicants will be working with leading-edge hardware and ML technologies, demonstrating the art of the possible and working toward bringing ML based technology into the agency’s domain in support of their mission and capabilities.

The Machine Learning Engineers will be required to work as part of an integrated team spanning ICT professionals and engineers, researchers, 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 agency’s stakeholders. They will be working with 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 the agency’s advancements in artificial intelligence.

The Role
The Machine Learning Engineers will work in the design and development of the agency’s focused machine learning and deep learning systems, running machine learning tests and experiments while developing and implementing appropriate ML algorithms. This will encompass:

• study and transformation of data science prototypes;
• 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 ML libraries and frameworks.

They must be willing and able to support the agency in activities relating to its operational mandate and objectives.

Essential Criteria
Mandatory:

• 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 organisational levels.
• Effective written and verbal communication skills.
• Respond strongly and positively to challenging work and deadlines.

Highly Desirable:

• Experience in the use and development of machine learning methods at scale within standalone or multi-GPU and multi-node configurations.
• Experience in MLOps and ModelOps software and associated engineering practices.
• Experience with best practice development methodologies and practices such as Agile, DevOps, and Configuration-As-Code.
• Understanding of data structures, data modeling and software architecture.
• Knowledge of math, probability, statistics and algorithms as applicable to the ML context.
• Ability to write code in Python, Java or R.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikitlearn).
• Demonstrated analytical and problem-solving skills. 

Desirable:

• Previous experience within the Defence environment.
• Familiarity with Defence IT security policies and concepts.

What the role offers:

• Up to $2000/day contracting rate for the right candidate
• A fun, collaborative and productive team.