AI Model Optimization Expert

2 days ago

Bharatpur, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Our organization is seeking a talented AI/ML Specialist to collaborate with our team 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, as well as working with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques.

The ideal candidate will have a strong foundation in machine learning and deep learning, combined with hands-on experience in Python and AI frameworks such as TensorFlow and PyTorch.

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.

Required Skills: Mandatory:

  • 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)

Good to Have:

  • Sensor data processing (noise reduction, feature extraction, preprocessing techniques)
  • Generative AI and applying Retrieval-Augmented Generator techniques would be an added value

Ideal Candidate Profile

  • Strong interest in AI and embedded development with a high motivation for self-learning
  • Team-oriented with excellent problem-solving skills

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