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.

Self-motivated, curious, and eager to solve complex technical challenges

Exposure to NLP, LLMs, RAG, MLOps, cloud platforms, or Data Engineering tools is advantageous.

Familiarity with Deep Learning frameworks such as PyTorch, TensorFlow, or Keras is a plus.