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Computer Vision Engineer

Unlock employer Dubai, United Arab Emirates Posted: 05 Nov 2025

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

As a Python / Computer Vision Developer at the company, you will be responsible for the design, development, and implementation of innovative computer vision and AI-based solutions in the logistics and automation domain. Your primary role will involve developing and optimizing algorithms for object detection, recognition, tracking, and OCR/ANPR using Python and modern deep learning frameworks.

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Responsibilities:

  • Design, code, test, debug, and document programs.
  • Support activities aligned with corporate AI/ML and systems architecture.
  • Provide analysis, model design, and system integration throughout all phases of solution delivery.
  • Recommend effective approaches for deployment and scalability.
  • Work on new research concepts, training pipelines, and AI model deployment across real-time video streams and edge/cloud environments.

Qualifications:

  • 5–7 years of applicable experience in Python, machine learning, and computer vision.
  • Hands-on exposure to frameworks such as OpenCV, PyTorch, TensorFlow, or PaddleOCR/YOLO.

Skill Requirements:

  • Strong proficiency in Python (3.x) with a focus on AI/ML and computer vision development.
  • Solid experience with OpenCV and at least one major deep learning framework (PyTorch, TensorFlow, Keras, or PaddlePaddle).
  • Hands-on experience with object detection models (YOLO, Faster R-CNN, SSD) and OCR frameworks (PaddleOCR, Tesseract).
  • Experience with real-time video/image processing (RTSP streams, edge devices, GPU acceleration).
  • Good knowledge of data preprocessing, augmentation, and annotation tools (LabelImg, PPOCRLabel, CVAT).
  • Familiarity with containerization (Docker), APIs, and cloud platforms (Azure, AWS, GCP) for model deployment.
  • Understanding of SQL/NoSQL databases for storing and retrieving processed data.
  • Knowledge of Git, CI/CD pipelines, and Agile methodologies.

Nice to Have:

  • Experience with distributed systems and message queues (RabbitMQ, Kafka, gRPC).
  • Familiarity with Edge AI deployment (NVIDIA Jetson, Intel OpenVINO, TensorRT).
  • Background in mathematics/statistics for AI optimization.
  • Exposure to C++ or .NET interop for hybrid solutions.
  • Experience in logistics, transportation, or the industrial automation domain.
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