Senior AI Research Scientist

2 weeks ago

Aligarh, Uttar Pradesh, India beBeeAnomaly Full time ₹ 18,00,000 - ₹ 22,00,000
Artificial Intelligence Engineer Job Description

We are seeking an exceptional Artificial Intelligence Engineer to join our team. As a key member, you will be responsible for developing and optimizing AI models for deployment on edge devices.

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 designing and implementing anomaly detection models using statistical and unsupervised learning techniques, as well as optimizing AI models for edge devices.

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.
  • 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:

  • 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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