
AI Expert Developer
7 days ago
We are actively seeking a highly skilled and passionate AI/ML Engineer to join our team.
The ideal candidate will have a strong foundation in machine learning and deep learning, combined with hands-on experience in Python and AI frameworks.
Key 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.
- Collaborate with cross-functional teams to translate business needs into AI-powered solutions.
Required Skills and Qualifications:
- 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)
Benefits:
This role offers the opportunity to work on cutting-edge AI projects, collaborate with experienced professionals, and develop your skills in a dynamic and supportive environment.
Other Requirements:
- Age: 25–35 years old (preferably young to mid-career professionals with flexible thinking and a strong willingness to learn)
- Interest in Japanese culture (such as anime)
Ideal Candidate Profile:
- 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
Education:
Engineering Background Degree
Experience Level:
- Senior – 4-6 Years
- Mid-level – 3-4 Years
- Junior – 1-2 Years
- Mid-level – 3-4 Years
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