This internship program focuses on exploring and advancing AI-driven solutions for Edge Artificial Intelligence and intelligent system orchestration, with an emphasis on Reinforcement Learning (RL) and Large Language Models (LLMs). Selected interns will participate in research-oriented projects aimed at developing intelligent, adaptive, and efficient edge-based AI systems. The internship is designed for students interested in applied AI research and hands-on development in emerging intelligent orchestration environments.

Applicants should have a background in Computer Science, Artificial Intelligence, or related fields, along with foundational knowledge of machine learning and/or reinforcement learning. Strong Python programming skills are required, and familiarity with PyTorch or TensorFlow is preferred. Ideal candidates are fast learners who are curious, self-motivated, and interested in research and development.

Interns are expected to actively contribute to research activities, implement AI models, and collaborate on intelligent edge computing solutions.

Intenship Duration 2 to 3 months.