Job Description
Your Benefits:
- Full time permanent role
- Hybrid approach – WFH + Melbourne Office (inner city)
- ASAP Start
- Python + ML
- Innovative technology and projects - Computer Vision
- interfacing computer vision methodologies with machine learning algorithms,
- designing machine learning algorithms and implementing these on embedded and/or edge devices,
- optimizing code with a focus on real-time processing and computational efficiency,
- Research projects in optical technologies.
- You will be responsible for deep-learned neural networks (DNNs),
- Team lead the Software team (optional)
- Tertiary qualification in computer science, engineering, (or related discipline) or equivalent industry experience
- Must have Computer Vision experience or ML in imagery
- Work confidently in Python specifically Python library building/management and PyTorch,
- Demonstrated experience with C++,
- Proven understanding of the fundamentals of neural networks and convolutional neural networks (CNNs),
- Demonstrated experience with object detection and segmentation
- Experience with deep-learned neural networks (DNNs),
- Experience with machine learning model construction and optimization,
- Experience with the following libraries: PyTorch, scikit-learn, scikit-image, PIL, Pandas, OpenCV,
- Experience solving computer vision problems using ML and DL methods,
This role is joining a growing team. You will be an integral member on projects and working with passionate and collaborative people. If you are looking to take your career to the next step this role is for you. Suitable for an experienced professional who would like to progress into a team lead role or who has team leading experience. Willing to consider candidates who do not have any team leading experience. You must be proficient in python.
