Job Description

Job Summary

We are looking for a passionate Deep Learning Engineer (Fresher) who is eager to build intelligent systems using neural networks and advanced AI techniques. This role is ideal for candidates with strong theoretical knowledge and hands-on academic/project experience in deep learning.

Key Skills & Technologies (ATS Keywords)

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

Job Description (JD)

• Assist in designing and developing deep learning models for various applications
• Support training and optimization of models for improved accuracy and performance
• Work on use cases such as image recognition, NLP, and predictive analytics
• Collaborate with senior engineers to implement advanced AI solutions
• Prepare and preprocess datasets for model training and evaluation
• Conduct model testing, validation, and performance tuning
• Help in deploying models into real-world applications
• Document model architecture, experiments, and results
• Stay updated with emerging deep learning frameworks and techniques
• Contribute to research and experimentation with cutting-edge AI technologies

Roles & Responsibilities

• Assist in developing and training deep learning models 
• Work on Computer Vision and NLP-based projects 
• Perform data preprocessing and dataset preparation 
• Implement neural network architectures (CNN, RNN, etc.) 
• Evaluate model performance and improve accuracy 
• Collaborate with team members on AI projects 
• Stay updated with latest deep learning trends 

Eligibility Criteria

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