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← Safetrust

Computer Vision Engineer Edge AI Junior level

Safetrust · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Not Available, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Design and develop computer vision algorithms for secure identity verification and object recognition.
  • Optimize deep learning models for real-time performance on embedded and edge devices.
  • Integrate AI models into Safetrust's access control systems and software solutions.
  • Develop and refine image processing techniques for facial recognition and gesture-based authentication.
  • Work with datasets — ensuring data quality, augmentation, and preprocessing for training robust models.
  • Implement AI-driven anomaly detection for security applications.
  • Collaborate with hardware engineers and software developers to enhance overall system performance.
  • Stay current on advancements in AI, deep learning, and computer vision.
  • AI Model Development & Computer Vision
  • Design and develop computer vision algorithms for secure identity verification, facial recognition, object detection, and related AI-powered authentication capabilities.
  • Develop, train, and optimize deep learning models for real-time performance across embedded, edge, and cloud environments.
  • Develop and refine image processing techniques to improve recognition accuracy, reliability, and overall system performance.
  • Implement AI-driven anomaly detection and behavioral analysis to enhance the security of Safetrust's identity and access solutions.
  • Model Evaluation & Optimization
  • Design and execute testing methodologies to evaluate model accuracy, precision, recall, latency, and overall production performance.
  • Continuously optimize models to improve inference speed, memory utilization, power efficiency, and detection accuracy for deployment on embedded and edge devices.
  • Benchmark AI models against industry best practices and emerging computer vision techniques to drive continuous improvement.
  • Data Preparation & Model Training
  • Build, curate, and maintain high-quality training, validation, and testing datasets.
  • Perform data preprocessing, augmentation, labeling, and quality validation to improve model robustness and generalization across diverse environments.
  • Evaluate dataset quality and identify opportunities to reduce bias while improving overall model performance.
  • AI Integration & Deployment
  • Integrate AI models into Safetrust's access control products, embedded systems, and software platforms.
  • Collaborate with software, embedded, cloud, and hardware engineering teams to ensure seamless deployment of AI capabilities into production environments.
  • Support model deployment, versioning, validation, and continuous performance monitoring throughout the AI lifecycle.
  • Cross-Functional Collaboration
  • Partner with Product Management, Engineering, and the AI & Data Architecture team to ensure AI solutions leverage trusted, well-governed, and properly structured enterprise data.
  • Participate in technical design discussions and contribute recommendations that improve AI architecture, scalability, and overall product performance.
  • Document model architectures, training methodologies, evaluation results, and deployment processes to support knowledge sharing and long-term maintainability.
  • Innovation & Continuous Learning
  • Stay current on advancements in artificial intelligence, machine learning, deep learning, computer vision, and edge AI technologies.
  • Evaluate emerging tools, frameworks, and methodologies that could improve Safetrust's AI capabilities and product offerings.
  • Support the development of AI solutions that prioritize security, privacy, fairness, and responsible use of biometric and identity-related data.
  • Your Skills and Experience
  • Skills & Experience:
  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
  • Around 2 years of experience Computer Vision.
  • Solid foundation in at least one deep learning framework: TensorFlow, PyTorch, or ONNX.
  • Programming skills in Python; familiarity with C++ for production deployment.
  • Experience with OpenCV and common image processing techniques.

Quyền lợi

Đào tạo

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