AI Engineer for Edge Computing Solutions

3 days ago

Thiruvananthapuram, Kerala, India beBeeArtificial Full time ₹ 15,62,500 - ₹ 19,95,000
AI Engineer for Edge Computing Solutions

We are seeking a highly skilled and passionate Artificial Intelligence/ Machine Learning (AI/ML) Engineer to join our team. This role involves designing, developing, and optimizing AI models for deployment on edge devices, with a focus on anomaly detection and sensor data processing.

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 and Qualifications:

  • 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).

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.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

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).

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