AI Engineer Intern

Key Responsibilities

As a Machine Learning / AI Intern, you will:

• Design, develop, and deploy advanced Deep Learning models for NLP use cases such as Semantic Search, Information Retrieval, and Text Understanding.
• Contribute to the development and fine-tuning of foundation models using proprietary datasets.
• Support the implementation of Generative AI solutions, including:
• Agentic AI Systems
• Retrieval-Augmented Generation (RAG)
• Model Context Protocol (MCP)
• Large Language Model (LLM) Applications
• Assist in building and optimizing MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Work on a variety of Data Science and Data Engineering challenges involving data processing, model optimization, and performance evaluation.
• Collaborate with cross-functional teams to transform innovative AI ideas into scalable production solutions.

Who We're Looking For

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or a related technical field.
• Maximum of two semesters remaining before graduation.
• Strong passion for AI, Machine Learning, and continuous learning.
• Basic understanding of Python and Machine Learning concepts.
• Familiarity with Deep Learning frameworks such as PyTorch, TensorFlow, or Keras is a plus.
• Exposure to NLP, LLMs, RAG, MLOps, cloud platforms, or Data Engineering tools is advantageous.
• Self-motivated, curious, and eager to solve complex technical challenges