Posted on: 17/12/2025
Description :
Role Overview :
As a Computer Vision Engineer, you will :
- Build computer vision models for detection, segmentation, OCR, or tracking.
- Work with datasets, labeling workflows, augmentation, and preprocessing.
- Deploy CV models to cloud, edge devices, or real-time environments.
- Evaluate accuracy, false positives/negatives, and performance constraints.
- Collaborate with product and engineering on integration and optimization.
Technical Requirements & Skills :
- Experience : 3+ years in CV or deep learning.
- Tools : PyTorch, OpenCV, YOLO, Detectron2, TensorRT.
- Skills : Model training, annotation, optimization, GPU-based deployment.
- Bonus : Experience with robotics, edge AI, or video analytics.
What Were Looking For :
- Engineer who understands real-world constraints of CV systems.
- Strong command of model optimization and dataset handling.
- Able to deliver reliable perception pipelines.
Why Join Us? :
- Impact : Build vision systems for automation, security, and analytics.
- Flexibility : CV roles across robotics, manufacturing, AI SaaS, and research teams.
- Network : Collaborate with ML, robotics, and engineering specialists
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