AddressRaedyne Systems conducts visual assessments of low and high transmission networks in Australia and overseas.
We are seeking a Machine Learning Engineer to contribute to the development of our aerial inspection equipment and backend processing systems. Mechatronics Engineers with a strong interest in ML will also be considered.
The role offers the opportunity to own your work, allowing you to set the strategic agenda and actively execute it through hands-on coding. Ideal for someone who values creative freedom, is willing to take on responsibility, and enjoys working in a small tight-knit team. You’ll work with cutting-edge deep learning models and deploy them at a large scale, it’s a dual opportunity to do challenging work and grow professionally.
The successful applicant will form part of a multidisciplinary and agile product development team with extensive knowledge of software development, data science, broader engineering and field operations. You will help design, develop and deploy solutions from our Head Office in Cremorne, Melbourne.
You will be responsible for the ongoing development of state of the art AI ML software and image processing pipelines and R&D projects developed by Raedyne over the past decade.
Our systems capture millions of images in the field and process them with state of the art deep learning models to extract useful insights for our customers.
We are seeking a highly creative, self motivated and independent person, with demonstrated capability, a strong desire to grow and most importantly, a deep sense of inquiry.
Machine Learning
- Be the domain knowledge expert of the Company,
- Design, build, and maintain advanced deep learning and computer vision models
- Complete model life-cycle responsibilities
- Data modelling and pipelines
- Model development using a variety of architectures
- Design and implementation of API layers
- On-going monitoring and maintenance post deployment
- Stay abreast and informed of the latest research and actively investigate over the horizon solutions.
Software Engineering
- Strong computer science understanding
- High level of IT competency
- Design and implement high quality systems architecture,
- Write well-designed, testable code,
- Develop software verification plans and quality assurance procedures,
- Closely collaborate with the Chief Technical Officer and other team members,
- Documentation of procedures and processes sufficiently such that a suitably experienced person can maintain code and systems,
- Documentation of research and development activities,
Knowledge, Skills and Abilities
- Demonstrated high-quality software design, generation and implementation are essential in real-world applications of image processing and computer vision applications using modern approaches and techniques.
- Demonstrated experience in real-world application of image processing and computer vision and data science applications using modern approaches and techniques
- Advanced proficiency in Python, PyTorch, or similar frameworks
- Computer science or engineering background preferable,
- Real world exposure to working environments and industrial scale problems,
- Ability to work independently and unsupervised,
- Strong analytical capabilities with the ability to articulate it
- Most importantly, a deep sense of inquiry.
