You will
- Assist in the development and deployment of an automated Computer Vision models and AI data analytics infrastructure
- End to end hands-on ownership of computer vision features and various projects
- Deep knowledge on conventional and modern computer vision algorithms including:
- Image processing
- Stereo matching, registration, alignment, and image stitching
- 2D to 3D transformation and bird eye view analysis
- Single image depth measurement
- Computational Geometry
- Running tests, performing statistical analysis, and interpreting test results
- Documenting machine learning processes
- Working with other groups while maintaining clear differentiation and value in our specific offerings, and leading the path of value driven AI features that are innovative and deployable to real customers
- Stay current and up-to-date around key research areas in computer vision, by constant paper reading and testing new models
You Have
- Experience in applying AI to practical and comprehensive technology solutions
- Proven experience with ML, deep learning, Tensorflow, OpenCV
- Experienced with developing models solving real world problems in the following fields: cities, transportation, infrastructure and Energy
- Experience with cloud services: AWS
- Experience with video, camera and robotics
- Knowledge of underlying production technology such as Linux, Kubernetes/Docker and Git(hub)
- Expert python programmer and codes using software engineering best practices
You Are
- A highly professional, committed, accountable and adaptable individual
- Very results oriented and have a \"you see it, you own it\" approach
- Very high attention to detail and rigorous in enforcing quality standards
- Able to work independently and cross-functionally with other members of the team
- Comfortable in communicating both good and bad news to all stakeholders
- Able to produce efficient, robust and scalable solutions
- Passionate about cutting-edge tech within the data engineering space
- Comfortable working in a fast paced deployment centric environment exploring the unknown
- Right to work in Australia
Nice to Have
- Experience in integrating LLM and VLM models for Computer Vision purposes
- Experience with various cloud platforms beyond AWS
- Robust understanding of MLOps practices
- Familiarity with data visualization tools
- Experience in real-time video processing and streaming technologies
- Contributions to open-source computer vision projects
- Experience with edge computing for AI models
- Knowledge of ethical AI principles and responsible AI development
📌 Computer Vision Engineer
🏢 Unleash Live
📍 Sydney