AI Model Developer

1 week ago

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

We are actively seeking an experienced AI/ML 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.

Key Responsibilities:

  • Design and implement anomaly detection models using statistical and unsupervised learning techniques.
  • Optimize AI models for deployment on 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.
  • Collaborate with cross-functional teams to translate business needs into AI-powered solutions.

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)
  • Gen AI and applying RAG technique would be added value

Other Requirements (Non-Skill Related)

  • Age: 25–35 years old (preferably young to mid-career professionals with flexible thinking and a strong willingness to learn)
  • Interest in Japanese culture (such as anime)

Ideal Candidate Profile

  • 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:

Engineering Background Degree

Experience Level:

  • Senior – 4-6 Years
    • Mid-level – 3-4 Years
      • Junior – 1-2 Years

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