Computer Vision Engineer Job Description

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What does a Computer Vision Engineer do?

The Computer Vision Engineer is responsible for designing and building systems that enable machines to interpret and understand visual data. This role applies deep learning and image processing techniques to solve problems in areas such as object detection, image classification, video analysis, and visual inspection.

Free Computer Vision Engineer Job Description Template

Free Computer Vision Engineer Job Description Template

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What are the Key Responsibilities of Computer Vision Engineer

  • Develop and train computer vision models for tasks such as object detection, segmentation, and classification.
  • Preprocess, augment, and manage large-scale image and video datasets.
  • Optimize models for real-time inference on edge devices or cloud infrastructure.
  • Integrate vision models into production pipelines and APIs.
  • Evaluate model performance using precision, recall, mAP, and other relevant metrics.
  • Research and implement state-of-the-art architectures such as YOLO, DETR, and SAM.

What are the Skills and Requirements for a Computer Vision Engineer?

  • Proficiency in Python with deep expertise in OpenCV, PyTorch, or TensorFlow.
  • Experience with vision-specific architectures including CNNs, Vision Transformers, and diffusion-based models.
  • Strong understanding of image processing fundamentals and data augmentation techniques.
  • Familiarity with ONNX, TensorRT, or other model optimization and deployment tools.

What are the KPIs to track for Computer Vision Engineer?

Performance is evaluated based on model accuracy on benchmark datasets, inference speed in production, dataset quality, and successful delivery of vision-powered features.
Model Accuracy
mAP, precision, and recall scores on held-out evaluation datasets.
Inference Latency
Model inference speed measured in milliseconds per frame or image.
Feature Delivery
On-time delivery of computer vision features to production.
Reports to
Head of ML Engineering / Lead Data Scientist
Collaborates with
ML Engineers, Data Scientists, Software Engineers, Product Managers
Leads

Are any specific tools or software required for the Computer Vision Engineer role?

  • PyTorch
  • OpenCV
  • TensorFlow
  • YOLO
  • TensorRT
  • ONNX

What is the qualification of Computer Vision Engineer?

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field; 2+ years of experience developing and deploying computer vision models.

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