Machine Learning Development Intern

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.

• 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.

• 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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