AI Model Developer

1 day ago

Vellore, Tamil Nadu, India beBeeArtificialIntelligenceEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

We are currently seeking a highly skilled AI Model Developer. This role involves developing and optimizing AI models for deployment on edge devices, with a focus on anomaly detection and sensor data processing.

This position requires a strong foundation in machine learning and deep learning, combined with hands-on experience in Python and AI frameworks.

The ideal candidate will have a strong understanding of machine learning and deep learning techniques, as well as experience in integrating AI models. Additionally, the candidate should have expertise in Python libraries such as TensorFlow, PyTorch, and scikit-learn.

The AI Model Developer will be responsible for designing and implementing anomaly detection models using statistical and unsupervised learning techniques. They will also be responsible for optimizing AI models for edge devices and working with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques.

The candidate should have excellent problem-solving skills and be able to work effectively in a team environment. A strong interest in AI and embedded development, as well as a willingness to learn and grow, is essential for this role.

Key Responsibilities:
  • Anomaly Detection: Design and implement anomaly detection models using statistical and unsupervised learning techniques.
  • Ai Model Optimization: Optimize AI models for edge devices.
  • Sensor Data Processing: Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques.
Required Skills:
  • Machine Learning: Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN).
  • Anomaly Detection Techniques: Knowledge of anomaly detection techniques (statistical models, unsupervised learning).
  • Ai Frameworks: Experience in integrating AI models (optimization for edge devices, TensorFlow Lite, etc.).
  • Python Libraries: Expertise in Python libraries (TensorFlow, PyTorch, scikit-learn, etc.).
  • Data Visualization: Data visualization and analysis skills (Pandas, Matplotlib, Seaborn).
Benefits:
  • Career Growth: Opportunity to work on cutting-edge AI projects and develop your skills.
  • Collaborative Environment: Collaborate with cross-functional teams to translate business needs into AI-powered solutions.
Other Requirements:
  • Age: 25–35 years old.
  • Interest in Japanese Culture: Interest in Japanese culture (such as anime).

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