Artificial Intelligence Solutions Specialist

1 week ago

Jaipur, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Artificial Intelligence Engineer Job Description

We are seeking a skilled Artificial Intelligence (AI) and Machine Learning (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.

The role involves 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.
Required Skills and Qualifications

Mandatory:

  • Fundamental understanding of machine learning and deep learning.
  • Knowledge of anomaly detection techniques.
  • Experience in integrating AI models.
  • Experience with Python libraries.
  • Data visualization and analysis skills.
  • AI model optimization and evaluation methods.

Good to Have:

  • Sensor data processing.
  • Generalized AI and applying Receptive Autoencoder technique would be an added value.

Other Requirements

  • Age: 25–35 years old.
  • Interest in Japanese culture.

Ideal Candidate Profile

  • Strong interest in AI and embedded development.
  • Team-oriented with excellent problem-solving skills.
  • Keen interest in Industrial IoT and willingness to deepen knowledge.
Education and Experience

Engineering Background Degree. Experience Level:

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

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