
Cutting-Edge AI Model Developer
21 hours ago
Job Title:
Data Scientist
- A talented and experienced Data Scientist is sought after to lead the development of cutting-edge AI models for deployment on edge devices.
About this role:
We are seeking a skilled Data Scientist with experience in designing and implementing anomaly detection models using statistical and unsupervised learning techniques, optimizing AI models for edge devices, and working with time-series and sensor data.
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.
Requirements:
- 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).
Preferred qualifications:
- Sensor data processing (noise reduction, feature extraction, preprocessing techniques).
- Gen AI and applying RAG technique would be added value.
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