Computer Vision Technology
Design, build, evaluate, deploy, and govern computer vision solutions that deliver measurable outcomes (accuracy, latency, reliability, compliance).
Proficiency Level
Level 1 (Follow)
- Understand basic Computer vision (CV) terms and follows SOP/templates to complete simple tasks.
- Highlight and seek guidance for unclear cases early.
- Produce basic outputs with review (e.g., labeling, running inference/training scripts).
Level 2 (Assist)
- Gather and completes routine CV tasks using standard tools and best practices.
- Troubleshoot common issues (data quality, training errors) using known fixes.
- Document work clearly and delivers repeatable results for standard cases.
Level 3 (Apply)
- Deliver end-to-end solutions for typical CV use cases (data → model → evaluation → handover).
- Perform root-cause analysis and improves performance using metrics and error analysis.
- Make sound technical decisions and manages moderate ambiguity with minimal supervision.
Level 4 (Ensure)
- Design system architecture and sets quality standards/acceptance criteria for CV solutions.
- Optimise for production constraints (latency, cost, reliability) and leads complex delivery.
- Coach others and aligns cross-functional stakeholders on trade-offs and risks.
Level 5 (Strategise)
- Define enterprise CV roadmap, governance, and reusable reference architectures.
- Lead high-stakes deployments (privacy/ethics/compliance) and drives innovation adoption.
- Deliver organisation-wide impact through standardisation, capability building, and strategic decisions.