
AI Model Development Specialist
22 hours ago
We are seeking a skilled AI/ML professional to develop and deploy cutting-edge AI models for edge devices.
- Main Responsibilities:
- Design, implement, and optimize anomaly detection models using statistical and unsupervised learning techniques.
- Integrate AI models with edge devices, leveraging technologies like TensorFlow Lite.
- 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.
- 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.)
- Proficiency in Python libraries (TensorFlow, PyTorch, scikit-learn, etc.)
- Data visualization and analysis skills (Pandas, Matplotlib, Seaborn)
- Benefits and Opportunities:
- 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
About the Ideal Candidate:
- Desirable Attributes:
- Sensor data processing (noise reduction, feature extraction, preprocessing techniques)
- General AI and applying RAG technique would be an added value
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