Entry-Level AI Engineer Intern(Computer Vision & NLP)

Role Overview

We are seeking an entry-level AI Engineer to help develop and implement deep learning models for both Computer Vision and Natural Language Processing (NLP) tasks. You will work with state-of-the-art deep learning frameworks like TensorFlow and PyTorch to build models for image classification, object detection, text analysis, and large language models (LLMs). Additionally, you will contribute to research initiatives by reviewing and implementing concepts from research papers in AI.

Responsibilities

• Develop and train deep learning models for Computer Vision and NLP tasks.
• Implement and fine-tune models using TensorFlow and PyTorch.
• Preprocess and augment image and text datasets for training.
• Analyze model performance and optimize architectures for better efficiency.
• Work on AI agent development and integrate LLMs into applications.
• Collaborate with team members to deploy models in real-world applications.
• Review and contribute to research papers and advancements in AI.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
• Basic knowledge of deep learning concepts, including CNNs, Transformers, and RNNs.
• Familiarity with TensorFlow and PyTorch for model development.
• Proficiency in Python and libraries such as NumPy, OpenCV, Pillow, SpaCy, and Hugging Face Transformers.
• Understanding of LLM architectures like GPT, BERT, and their applications.
• Willingness to learn and work collaboratively in a dynamic environment.

Skills

• Python
• TensorFlow
• PyTorch
• OpenCV
• Hugging Face Transformers