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Computer Vision Engineer

Riyadh

EmployerUndisclosed employer
LocationRiyadh
Job typeFull-time
FieldIT & Software
Experience2+ years
Posted2026-06-09

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Job description

Remote Junior AI Engineer - Computer Vision Location: Remote Employment Type: Full-time (8 hours) Remotely Role Overview We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems. · Develop and train Computer Vision models for image and video analysis. · Implement solutions for object detection, image classification, segmentation, and tracking. · Prepare and manage datasets, including data cleaning, labelling, and augmentation. · Optimize models for GPU performance, inference speed, and scalability. · Deploy AI models into production using APIs and containerized services. · Integrate Computer Vision models with broader AI and analytics platforms. · Collaborate with software engineers, data scientists, and product teams. · Maintain documentation and ensure code quality and reproducibility. Required Skills & Qualifications · Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision. · Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field. · Strong knowledge of Computer Vision concepts and algorithms. · Practical experience with CNN-based models and modern CV architectures. · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV). · Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2). · Understanding of model evaluation, metrics, and performance optimization. · Experience deploying models in cloud or on-prem environments. · Familiarity with Docker and basic MLOps practices. · Excellent English communication skills (written and spoken). Nice to Have · Experience with video analytics or real-time inference. · Exposure to Vision Transformers or multimodal AI. · Experience with GPU-based training and inference. · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP). · Background in domains such as healthcare, smart cities, or industrial AI. · Work on practical, production-grade Computer Vision solutions. · Access to GPU infrastructure and modern AI tooling. · Collaborative, engineering-focused work environment. · Opportunities for growth and advanced AI exposure. · Competitive compensation package

Requirements

Skills

ExcelPythonNetworkingAI / Machine learning

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