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. They will be involved in training, collaborative work, and practical tasks aimed at enhancing their skills in a corporate environment focused on innovation in AI.Role: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.
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