Leading Edge AI Developer

1 week ago

Rajkot, Gujarat, India beBeeMachineLearning Full time ₹ 90,00,000 - ₹ 1,20,00,000
We are seeking a highly skilled Artificial Intelligence Engineer to join our team. This is an exciting opportunity for a talented professional to develop and optimize AI models for deployment on edge devices, with a focus on anomaly detection and 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.Job Description:
  • 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 and Qualifications:Mandatory 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, 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)
  • Gen AI and applying RAG technique would be added value
Ideal Candidate Profile:

We are looking for a highly motivated individual with a passion for artificial intelligence and embedded development.

  • Strong interest in AI and embedded development with a high motivation for self-learning
  • Team-oriented with excellent problem-solving skills
  • Keen interest in Industrial IoT and a willingness to deepen their knowledge
Education and Experience:

Engineering Background Degree

Senior – 4-6 Years

Mid-level – 3-4 Years

Junior – 1-2 Years

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