AI Visionary

21 hours ago

Erode, Tamil Nadu, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000
Job Title: Artificial Intelligence Engineer

We are seeking a talented and skilled Artificial Intelligence 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 candidate will be responsible for designing and implementing anomaly detection models using statistical and unsupervised learning techniques.

The key responsibilities of this role include:

  • Designing and implementing anomaly detection models using statistical and unsupervised learning techniques.
  • Optimizing AI models for edge devices.
  • Working with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques.
  • Utilizing deep learning architectures such as CNNs, RNNs, LSTM, GRU, and GANs.
  • Performing model evaluation, optimization, cross-validation, and hyperparameter tuning.
  • Visualizing and analyzing datasets using Python tools like Pandas, Matplotlib, and Seaborn.
  • Collaborating with cross-functional teams to translate business needs into AI-powered solutions.

The required skills and qualifications for this role include:

  • A 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).

Benefits of this role include:

  • Opportunity to work with cutting-edge AI technologies.
  • Chance to collaborate with cross-functional teams.
  • Professional growth and development opportunities.

Others requirements include:

  • Age: 25–35 years old.
  • Interest in Japanese culture.

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