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1 day ago
We are actively seeking a skilled AI/ML Engineer to join our team.
This role involves developing and optimizing AI models for deployment on edge devices, focusing on anomaly detection and sensor data processing. 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.
- 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).
- Sensor data processing (noise reduction, feature extraction, preprocessing techniques).
- General AI and applying reinforcement agents would be an added value.
- 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.
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