Description
The main objective of this internship program is to train and develop students to contribute to cutting-edge projects in Machine Learning (ML) and Generative AI (GenAI).
Interns will take responsibility for key aspects of ongoing projects, gaining hands-on experience in ML model development and deployment.
Responsibilities:
- Support the development of ML models, with a focus on Generative AI and Prompt Engineering;
- Assist the ML team in fine-tuning models, optimizing prompt inputs, and improving output quality for AI-driven applications;
- Collaborate with engineers and data scientists to understand project requirements and provide solutions for building and deploying AI-based chatbots and applications;
- Participate in technical meetings and brainstorming sessions to improve model performance;
- Research the latest trends and breakthroughs in GenAI and contribute to experimentation with new techniques;
- Help document the development process, maintaining quality standards and best practices in model iteration and deployment.
Qualifications:
- Students in Computer Science / Data Science / Machine Learning / Artificial Intelligence / Engineering or related fields from the 2nd semester onwards;
- Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures;
- Strong interest in Generative AI, chatbot development, and prompt engineering;
- Basic experience with Python, TensorFlow, PyTorch, or other ML frameworks;
- Curiosity about cloud computing, large language models (LLMs), and AI-driven solutions;
- Strong analytical and problem-solving skills with a passion for AI research and development;
- Intermediate proficiency in English is required.