
Intelligent Systems Developer
3 days ago
We are seeking an experienced developer to join our team in the design and implementation of intelligent systems.
The ideal candidate will have a strong foundation in machine learning and deep learning, combined with hands-on experience in Python and AI frameworks.
- Responsibilities:
- Design and implement anomaly detection models using statistical and unsupervised learning techniques.
- Optimize AI models for edge devices.
- Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques.
- Utilize deep learning architectures such as CNNs, RNNs, LSTM, GRU, and GANs.
- Perform model evaluation, optimization, cross-validation, and hyperparameter tuning.
- Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn.
- Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN).
- Knowledge of anomaly detection techniques (statistical models, unsupervised learning).
- Experience in integrating AI models (optimization for edge devices, TensorFlow Lite, etc.).
- Experience with Python libraries (TensorFlow, PyTorch, scikit-learn, etc.).
- Data visualization and analysis skills (Pandas, Matplotlib, Seaborn).
- AI model optimization and evaluation methods (cross-validation, hyperparameter tuning).
- Strong interest in AI and embedded development with a high motivation for self-learning.
- Team-oriented with excellent problem-solving skills.
- Keen interest in Industrial IoT and a willingness to deepen their knowledge.
- Engineering Background Degree.
- Suitable candidates should be between 25–35 years old.
- Interest in Japanese culture (such as anime) is considered an advantage.
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