Advanced AI Model Developer

2 days ago

Gandhinagar, Gujarat, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: AI Engineer for Edge Device Deployment

We are seeking a talented Artificial Intelligence Engineer to assist in developing and optimizing AI models for deployment on edge devices.

This role involves designing and implementing anomaly detection models using statistical and unsupervised learning techniques, focusing on 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 to ensure efficient performance.
  • 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 to achieve optimal results.
  • Perform model evaluation, optimization, cross-validation, and hyperparameter tuning to ensure accuracy.
  • Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn to gain valuable insights.
Required Skills:
  • 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).
  • Experience with Python libraries (TensorFlow, PyTorch, scikit-learn).
  • Data visualization and analysis skills (Pandas, Matplotlib, Seaborn).
  • AI model optimization and evaluation methods (cross-validation, hyperparameter tuning).
Benefits:

The successful candidate will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. They will also receive comprehensive training and support to enhance their skills and knowledge.

Others:

Our ideal candidate is a young professional with a strong interest in AI, embedded development, and self-learning. They should have excellent problem-solving skills, a willingness to learn, and a keen interest in Industrial IoT.

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