Overview
The role involves assessing datasets, developing computational interventions for data analysis, and implementing computer vision systems to interpret video and image data.
Tasks Summary
- Assesses suitability of datasets (video, imagery) for computational interventions
- Develops and deploys computational interventions for analysis of large quantities of data
- Evaluates technologies, tools, and methodologies
- Establishes and documents workflows and methodologies
- Implements the computer vision system
- Conducts technical research on computer vision and AI technologies
- Provides analysis, deduplication, and interpretation of video and image data using AI/computer vision
- Establishes strategic/situational framework
- Supports progress gauging and issue resolution
- Undertakes other duties as required
Experience Requirements
- Minimum of five years of progressively responsible work experience in computer vision or related area is required
- Experience implementing and leveraging computer vision-related machine learning technologies (e.g. TensorFlow, PyTorch, CUDA, OpenCV/OpenCL) for an accountability mechanism is desirable
- Experience architecting and deploying computer vision solutions in Microsoft Azure or Amazon AWS environments is desirable
- Experience using software to analyze large sets of images and/or videos is desirable
- Experience in object detection, recognition and segmentation is desirable
Qualification Requirements
- Advanced university degree (Master's degree or equivalent degree) in Computer Science, Computer Vision, AI, Mathematics, Physics, Statistics, or a related technical field is required
- A first level university degree in combination with two additional years of qualifying work experience may be accepted in lieu of the advanced university degree
- Certification in Microsoft Azure AI/ Machine Learning, and/or Certification in Amazon AWS AI/Machine Learning, is desirable
- Certification in project management is desirable