Electrical/Electronic Engineering (Engineering)
Working with Researchers and Data Engineers at DSTG, this role includes utilising and adapting open-source machine learning libraries to assist with automation of computer vision tasks for Analysts. This includes designing and building systems that can manage large quantities of imagery and applying deep learning through convolutional neural networks to augment analysis.
As Machine Learning Engineer, you can anticipate some of your day-to-day tasks to include:
* Assessment of training results, setting up additional training runs and report findings to researchers;
* Designing and implementing machine learning projects (both in development and production);
* Facilitate collaboration with RDA staff and clients;
* Identify and pursue ongoing personal development opportunities;
* Maintain strict confidentiality;
* Comply with RDA policies and improvements;
* Contribute to business improvement/quality programs and enterprise risk management activities; and
* Ensure your conduct is at all times professional, reputable and in accordance with the philosophy and direction of RDA.
About your new team
This position will be a key member of the Electronics Solutions team located in Edinburgh, SA. The team provides Software Engineering for the design and build systems that can manage large quantities of imagery, and apply deep learning through convolutional neural networks and other ML models to augment imagery analysis.
Find Your Why at Rheinmetall
Our values of Safety, Partnership, Openness, Respect and Trust (SPORT) supports our team members to create a workplace environment where our employees value each other, live up to their promises, communicate openly and work safely every day.
The experience and skillset best suited to this role includes:
* Bachelor in Computer Science or equivalent experience;
* Minimum 3 years' experience with Machine Learning;
* Understanding of MLOPs and its relationships with the DevSecOps process;
* Experience with Python 3;
o PyTorch/TensorFlow;
o NumPy, Pandas, matplotlib;
o Open CV, Pillow;
* Experience with the software development lifecycle;
* Experience working with Linux & Bash;
* Experience with Docker and Docker-compose;
* Source code revision control system knowledge (GIT);
* Experience working with SQL;
* Ability to travel internationally and interstate, when required; and
* Australian Government Security Clearance NV1 is required (must hold Australian Citizenship).
What we offer you
* Long weekends every second week with a 9 day fortnight;
* Attractive remuneration packages with salary sacrificing and novated leases;
* Access to exclusive employee discounts with over 500 retailers to support cost of living;
* Market leading parental leave and loyalty leave accrual for every year of service;
* Extensive Employee Assistance Program to support you and your family with overall health and wellbeing;
* Genuine career development and progression opportunities;
* Generous internal incentive and referral program;
* Work as part of a team with real purpose in what we do;
* We are proud to be an Endorsed Employer for All Women with WORK180.
Our inclusive culture
Rheinmetall fosters a culture of equality, fairness, diversity and inclusion for all our employees and provides a safe and secure work environment where everyone can feel comfortable and supported to bring their unique self to work every day.
We know that when people from diverse backgrounds and different points of view work together, we create the most value - for our clients, our people and our community. If you don't think you quite meet all of the requirements of the position, we'd still love to hear from you.
If you would like to know more information about how we are supporting our employees, you can view our policies and initiatives via our Work180 profile at work180.com/rheinmetall
To learn more about life at Rheinmetall, please visit: www.rheinmetall.com/career-au
Next steps
Apply now!
Preferred candidates will be required to complete background checks including pre-employment verifications and national police checks.
A Defence security clearance is required for this role, applicants must be Australian Citizens and eligible to obtain and maintain appropriate clearance.
International Traffic in Arms Regulations (ITAR) are applicable and as such, your nationality may be a factor in determining your suitability for this role.
Further information regarding clearance is available at: www.defence.gov.au/security/clearances
Applications close: 15th of November 2024
Please note that we will not be accepting any recruitment agency applications for this role.
Don’t provide your bank or credit card details when applying for jobs.
To help fast track investigation, please include here any other relevant details that prompted you to report this job ad as fraudulent / misleading / discriminatory.
Need to upskill?
Choose from thousands of courses delivered by leaders in education.
#J-18808-Ljbffr