Python Developer

2 weeks ago

Dubai, Dubai, United Arab Emirates Dautom Full time 80,000 - 120,000 per year

As a Python / Computer Vision Developer, you will be responsible for the design, development, and implementation of innovative computer vision and AI-based solutions in the logistics and automation domain.

  • The primary role will include developing and optimizing algorithms for object detection, recognition, tracking, and OCR/ANPR using Python and modern deep learning frameworks.
  • Responsibilities include designing, coding, testing, debugging, and documenting programs as well as supporting activities aligned with corporate AI/ML and systems architecture.
  • You will ensure support in analysis, model design, and system integration during all phases of solution delivery, including recommending the most effective approaches for deployment and scalability.
  • Your tasks will also include working on new research concepts, training pipelines, and AI model deployment across real-time video streams and edge/cloud environments.
  • Typically requires 5–7 years of applicable experience in Python, machine learning, and computer vision, with hands-on exposure to frameworks such as OpenCV, PyTorch, TensorFlow, or PaddleOCR/YOLO.

Skill Requirements:

  • Strong proficiency in Python (3.x) with 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, etc.) and OCR frameworks (e.g., 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.

Skill – 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 industrial automation domain.

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