AI Engineer (Machine Learning/DeepLearning)
ネクスジェン株式会社
- Python
- Machine Learning
- PyTorch
- TensorFlow
- MLOps
- architecture
- DeepLearning
- SotA model
- communication in English
-
Tokyo
-
Under 10
Company Info
Our company is recruiting AI (Artificial Intelligence) that can revolutionize the medical industry. We are actively utilizing AI technology that visualizes medical images in the global market, and are contributing to the development of medical support projects such as image recognition module construction, analysis, and accuracy verification, leading to the development of highly advanced society and the development of high-quality services. In addition, we are actively involved in a wide range of business activities, from the selection of SotA models and architectures to the development of parameter tuning, and the development of machine learning and deep learning algorithms. Furthermore, we provide an environment for gathering ML/DL engineering and providing opportunities for overseas staff to use English communication skills.Job Summary
As an AI engineer, you will be involved in the development and deployment of AI technology that visualizes medical images, and will be responsible for a wide range of tasks such as the construction, analysis, and accuracy verification of image recognition modules, and will be required to have a comprehensive understanding of the project, leading to the development of highly advanced society and the development of high-quality services. In addition, you will be involved in a wide range of business activities, from the selection of SotA models and architectures to the development of parameter tuning, and the development of machine learning and deep learning algorithms.Duties
As an AI engineer, you will be involved in the development and deployment of AI technology that visualizes medical images in the medical field, such as the field of sensory disorders and intractable diseases. Specifically, you will be required to have a comprehensive understanding of the construction, analysis, and accuracy verification of image recognition modules, as well as a wide range of business activities, from the selection of SotA models and architectures to the development of parameter tuning, and the development of machine learning and deep learning algorithms. Furthermore, you will be required to provide an environment for gathering ML/DL engineering and providing opportunities for overseas staff to use English communication skills.Login to see all information about offers.
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