Job Description

Job Summary

We are looking for a passionate and detail-oriented Neural Network Engineer to join our AI team. The ideal candidate should have a strong understanding of neural network fundamentals and a keen interest in building intelligent systems using deep learning techniques.

Key Skills & Technologies 

Neural Networks, Deep Learning, Machine Learning, CNN, RNN, LSTM, Transformers, Python, TensorFlow, PyTorch, Keras, Data Preprocessing, Model Training, Computer Vision, NLP, AI, NumPy, Pandas, Git

Job Description (JD)

• Assist in designing and developing neural network models for AI applications
• Support training and fine-tuning of models for improved performance
• Work on use cases such as image recognition, text processing, and predictive analytics
• Collaborate with senior engineers to implement and optimize AI solutions
• Prepare, clean, and preprocess datasets for model training
• Conduct model testing, validation, and performance evaluation
• Help in deploying models into real-world applications and systems
• Document model architecture, experiments, and results
• Stay updated with neural network techniques and AI advancements
• Contribute to ongoing research, experimentation, and model improvement initiatives

Roles & Responsibilities

• Assist in building and training neural network models
• Implement architectures such as CNN, RNN, and basic Transformers
• Perform data preprocessing and dataset preparation
• Evaluate model performance and optimize accuracy
• Work on AI use cases in NLP and Computer Vision
• Collaborate with team members on AI projects
• Stay updated with emerging neural network techniques

Eligibility Criteria

• Bachelor’s degree in Computer Science, AI, Data Science, or related field
• Basic understanding of neural networks and deep learning
• Knowledge of Python and frameworks (TensorFlow/PyTorch)
• Familiarity with CNN, RNN, or LSTM concepts

Strong analytical and problem-solving skills