Executive Summary & Why This Matters
A focused plan for the three months before you start applying, built around the skills Computer Vision Engineer employers screen for. In competitive hiring landscapes, small differences in signaling, formatting, and strategic presentation compound into major outcomes. This playbook synthesizes proven hiring insights to help candidates bypass common screening bottlenecks.
- Days 1–30: fundamentals of image processing and ‘CNNs and vision transformers’, plus hands-on practice with ‘Python and PyTorch’.
- Days 31–60: build one project using ‘object detection and segmentation’ and OpenCV, and write it up.
- Days 61–90: practise interview topics (‘CNN architectures and transfer learning’ and ‘object-detection metrics such as mAP and IoU’), polish your resume and start applying.
- Study in focused blocks and review weekly; shipping small outputs beats passive watching.
- Measure readiness with mock interviews and ask for feedback on your project.