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14 hours ago
We are seeking a skilled professional to develop and optimize artificial intelligence models for deployment on edge devices.
This role involves designing and implementing anomaly detection models using statistical and unsupervised learning techniques, as well as optimizing AI models for efficient operation on edge devices.
- Key Responsibilities:
- Develop anomaly detection models using machine learning algorithms.
- Optimize AI models for edge device deployment.
- Work with time-series data, applying appropriate preprocessing and feature extraction techniques.
- Utilize deep learning architectures such as CNNs, RNNs, and GANs.
- Perform model evaluation, optimization, cross-validation, and hyperparameter tuning.
- Collaborate with cross-functional teams to design and implement AI-powered solutions.
- Required Skills:
- Strong understanding of machine learning and deep learning concepts.
- Experience in developing and optimizing AI models for edge devices.
- Proficiency in programming languages such as Python and TensorFlow.
- Knowledge of data visualization tools such as Matplotlib and Seaborn.
- Ability to work effectively in a team environment.
- Good to Have:
- Experience with sensor data processing and noise reduction techniques.
- Knowledge of Generative Adversarial Networks (GANs) and Reinforcement Learning.
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