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16 hours ago
We are seeking a skilled 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.
This role involves developing and optimizing AI models for deployment on edge devices, with a focus on anomaly detection and sensor data processing. The successful candidate will have excellent problem-solving skills and be able to work collaboratively with cross-functional teams.
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).
As an AI/ML Engineer at our company, you will have the opportunity to work on cutting-edge projects and develop your skills in a dynamic and supportive environment.
Others:The ideal candidate will have a strong interest in AI and embedded development, with a high motivation for self-learning. They will also be team-oriented and have excellent problem-solving skills.
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