Machine Learning Developer
SYPAQ Systems
Date: 8 hours ago
City: Port Melbourne, Victoria
Contract type: Full time
SYPAQ is an industry leader in C4ISREW and autonomous systems integration, product development, and consulting services, with established engineering teams across projects in Canberra, Melbourne, Adelaide, Sydney, and Brisbane. Our rich history of partnering with the Australian Defence and National Security community continues to deliver a true sovereign industrial capability through advanced engineering and technology services and solutions.
Our team of experienced technical staff are subject matter experts in the development and delivery of autonomous systems and complex technical projects. Due to rapid expansion within the business, SYPAQ requires a Machine Learning (ML) Developer to join our defence team based in Port Melbourne.
This position is an exciting opportunity to be involved in a leading machine-learning research project. This project will involve the development of sophisticated machine-learning based solutions for a series of operations research problems. This is a complex problem, involving multiple systems, functioning within a niche dynamic operating environment.
We are looking for a data scientist/analyst/engineer to join our small and innovative R&D team on a fast-paced collaborative project. The project will draw on your dynamic data analytics, machine learning and modelling skills. This project is in its infancy and presents an excellent opportunity to influence and shape the form and direction of future derivative products.
This would suit an individual who loves to undertake a range of diverse and challenging problems. You will need to work collaboratively within a small diverse team across simultaneous tasks with multiple stakeholders. You will utilise your knowledge of science, mathematics and computing combined with critical thinking to assist with the deep analysis of candidate solutions to understand their performance bounds. You will be involved in the preparation of reports, software and other deliverables to stakeholders.
Responsibilities
SYPAQ’s Culture
We take pride in being a 100% Australian family owned business delivering world leading solutions to our clients locally and internationally. Our culture and values are important to us, hence we encourage people with the same vision to discuss how we can jointly achieve your personal and professional goals as part of our team.
We strongly believe in our VALUES, they underpin everything we do:
QLD License: LHL02458-W2B3Z
VIC License: VICLHL03075
Our team of experienced technical staff are subject matter experts in the development and delivery of autonomous systems and complex technical projects. Due to rapid expansion within the business, SYPAQ requires a Machine Learning (ML) Developer to join our defence team based in Port Melbourne.
This position is an exciting opportunity to be involved in a leading machine-learning research project. This project will involve the development of sophisticated machine-learning based solutions for a series of operations research problems. This is a complex problem, involving multiple systems, functioning within a niche dynamic operating environment.
We are looking for a data scientist/analyst/engineer to join our small and innovative R&D team on a fast-paced collaborative project. The project will draw on your dynamic data analytics, machine learning and modelling skills. This project is in its infancy and presents an excellent opportunity to influence and shape the form and direction of future derivative products.
This would suit an individual who loves to undertake a range of diverse and challenging problems. You will need to work collaboratively within a small diverse team across simultaneous tasks with multiple stakeholders. You will utilise your knowledge of science, mathematics and computing combined with critical thinking to assist with the deep analysis of candidate solutions to understand their performance bounds. You will be involved in the preparation of reports, software and other deliverables to stakeholders.
Responsibilities
- Performing data synthesis, implementation of models and concepts for quick analysis and evaluation.
- Assist in the definition of problems, as part of the investigative process.
- Assist in the preparation of reports and insights to enable informative assessment of candidate machine learning solutions to stakeholders.
- Strong numerical and mathematical skills, especially in the area of statistics.
- Proven analytics techniques with a background in either Engineering, Physics, Applied Mathematics or Computer Science.
- Experience with Python or MATLAB. Experience in rapid prototyping and/or research environments.
- A strong interest to learn and develop new capability in an emerging field.
- Experience with Reinforcement Learning algorithms
- Experience with relevant Python data science libraries (e.g. Pytorch, Tensorflow, Scipy, scikit-learn, numpy, etc) or MATLAB toolboxes (e.g. Deep learning toolbox, Statistics and Machine Learning toolbox, etc)
- An understanding across the Machine Learning and/or Operations Research domains.
- A background in Defence or Electronic Warfare
- Engineering, Applied Science, Computer Science degree or equivalent.
- Australian Citizen
- The ability to achieve an Australian Defence Security Clearance
- Strong interpersonal skills
- Ability to work in a team or independently
- 1-3 years Machine Learning experience (desirable)
SYPAQ’s Culture
We take pride in being a 100% Australian family owned business delivering world leading solutions to our clients locally and internationally. Our culture and values are important to us, hence we encourage people with the same vision to discuss how we can jointly achieve your personal and professional goals as part of our team.
We strongly believe in our VALUES, they underpin everything we do:
- See something. Do something!
- Achieve more together – share success.
- Be Courageous – be innovative! See the opportunity, manage the risk.
- Strive for excellence – master your craft.
- We are family – we value honesty, respect, and compassion.
- Generous professional development and study options
- Loyalty leave scheme
- ADF reserve leave
- Flexible work arrangements
- Referral bonuses
- Salary sacrifice and novated leasing
QLD License: LHL02458-W2B3Z
VIC License: VICLHL03075
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