Remote Senior Machine Learning/Computer Vision Engineer

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KEYO

πŸ“Remote - United States

Job highlights

Summary

Join our dynamic team as a Machine Learning / Computer Vision Engineer and contribute to developing innovative solutions for secure and efficient identity verification. The ideal candidate will have a strong background in biometrics, deep learning, and computer vision.

Requirements

  • Deep understanding of Convolutional Neural Networks (CNNs) and Siamese Networks, including their architecture and applications in biometrics
  • Expertise in implementing and optimizing advanced loss functions, particularly Triplet Loss. Proficiency in addressing practical challenges in Siamese Networks, such as model collapse etc
  • Proficiency in RESTful API development using FastAPI
  • Hands-on experience with AWS services, Kubernetes, and PostgreSQL databases
  • Hands-on experience with Docker, Git, and Linux environments
  • Knowledge of recent advancements in AI/ML, particularly in the fields of biometrics and computer vision
  • Ability to develop algorithms for assessing the quality of images
  • Experience in designing and optimizing solutions for performance and scalability
  • Experience with advanced neural network architectures, including GANs and Auto-Encoders
  • Understanding of Generative AI techniques and their application in addressing data scarcity issues
  • Background in implementing security measures for data privacy and security
  • 5+ years of experience in developing and deploying machine learning and computer vision solutions
  • Strong proficiency in Python and relevant ML/CV libraries (PyTorch, OpenCV)
  • Solid understanding of RESTful API development using FastAPI
  • Experience with AWS services, Kubernetes, and PostgreSQL databases
  • Familiarity with Docker, Git, and Linux environments
  • Strong problem-solving skills and ability to optimize algorithms for performance and scalability

Benefits

Remote work

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