Entry-Level AI Engineer Intern

As an entry-level AI Engineer Intern specializing in Computer Vision and Natural Language Processing (NLP), your role will involve developing and implementing deep learning models using frameworks like TensorFlow and PyTorch. You will focus on tasks such as image classification, object detection, text analysis, and large language models (LLMs). Additionally, you will have the opportunity to contribute to research initiatives by implementing concepts from AI research papers. Key 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 enhanced efficiency. - Work on AI agent development and integrate LLMs into applications. - Collaborate with team members for deploying models in real-world applications. - Review and contribute to research papers and advancements in AI. Required Skills: - 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. This role provides you with an excellent opportunity to work on cutting-edge projects in both Computer Vision and NLP domains. It allows you to contribute to innovative AI solutions while gaining expertise in deep learning and AI agent frameworks. Please note that this is a full-time, permanent position with day and morning shifts. The work location is in person. Benefit: - Food provided.,