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Computer Vision Engineer

Джерело:
djinni.co
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Що робити

  • Design, train, and deploy CV models - object detection, classification, segmentation, visual analysis;
  • Optimize models for edge and mobile inference (quantization, pruning, distillation);
  • Build data pipelines for image and video processing, including annotation and dataset versioning;
  • Set up monitoring and retraining workflows for models in production;
  • Work with backend and mobile teams to integrate model outputs into user-facing features.

Що очікуємо

  • 3+ years in applied computer vision or ML with a strong CV focus;
  • Solid deep learning background: CNNs, detection and segmentation architectures (YOLO, Faster R-CNN, U-Net), vision transformers;
  • Python, PyTorch or TensorFlow, OpenCV;
  • Experience deploying and maintaining CV models in production;
  • Hands-on with on-device inference: ONNX, TensorRT, TensorFlow Lite, Core ML, or OpenVINO;

Що пропонуємо

  • MLOps tools (MLflow, Airflow, Vertex AI);
  • Real-time video processing at scale (FFmpeg, GStreamer, Kafka);
  • Edge AI or mobile ML experience.

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