Machine Learning Engineer
4 weeks ago
About the Role
This position will be a key member of the Electronics Solutions team located in Adelaide, 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.
Key Responsibilities
- Assessment of training results, setting up additional training runs and report findings to researchers;
- Peer code review;
- 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; and
- Contribute to business improvement/quality programs and enterprise risk management activities.
Requirements
- 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, PyTorch/TensorFlow, NumPy, Pandas, matplotlib, 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
- 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;
- Individualised Flexible Working Arrangements;
- 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.
Contact Information
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