AI Engineering Intern

Job Description

As an AI Engineering Intern , you will work closely with our AI research and development team to build, test, and deploy machine learning models and AI solutions. You will gain hands-on experience with various AI techniques and technologies, helping to develop and improve AI-powered systems. Responsibilities: Assist in the development and optimization of machine learning models and algorithms. Support data preprocessing, cleaning, and analysis for AI-related projects. Collaborate with the AI team to implement and integrate AI solutions into production systems. Contribute to the design and development of AI systems, including NLP, computer vision, or other domains based on project needs. Help in writing clean, scalable, and well-documented code for AI applications. Participate in the testing and validation of AI models, and identify areas for improvement. Stay up-to-date with the latest advancements in AI and machine learning technologies. Qualifications: Currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field (preferably at the undergraduate or graduate level). Solid understanding of machine learning concepts and algorithms (e.g., supervised learning, unsupervised learning, deep learning, etc.). Familiarity with programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus. Strong problem-solving skills and analytical thinking. Ability to work independently as well as part of a collaborative team. Good communication skills, with the ability to present ideas and technical concepts clearly. Preferred Qualifications: Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with data wrangling and data visualization tools (e.g., Pandas, Matplotlib, Seaborn). Knowledge of advanced AI topics such as reinforcement learning, generative models, or NLP. Exposure to version control systems (e.g., Git). Benefits: Mentorship from experienced AI engineers. Hands-on experience with state-of-the-art AI technologies. Opportunity to contribute to real-world AI projects.