AI Engineer Intern

**AI Engineer Intern** Role: AI Engineer Intern Experience: Fresher / 0–1 year Employment Type: Internship Work Mode: Remote Duration: 3 months Stipend: 10k-20k We are looking for a motivated and enthusiastic AI Engineer Intern to join our team and contribute to the development, testing, and deployment of AI and machine learning solutions. The ideal candidate should have a strong interest in Artificial Intelligence, Machine Learning, and Generative AI, along with a willingness to learn and work on real-world projects. **Key Responsibilities** * Assist in developing and implementing AI/ML models for real-world applications. * Collect, clean, preprocess, and analyze datasets for model development. * Develop and evaluate machine learning and deep learning models. * Work with Generative AI, Large Language Models (LLMs), and NLP technologies. * Assist in building AI-powered applications, chatbots, and automation solutions. * Perform model testing, debugging, optimization, and performance evaluation. * Work with APIs and AI frameworks to integrate models into applications. * Collaborate with software engineers, data scientists, and other team members. * Research emerging AI technologies and identify opportunities to apply them to projects. * Document experiments, methodologies, results, and technical implementations. **Required Skills** * Strong programming knowledge in Python. * Basic understanding of Machine Learning and Deep Learning concepts. * Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. * Understanding of Natural Language Processing (NLP) is a plus. * Basic knowledge of Generative AI and LLMs is preferred. * Familiarity with Git/GitHub and software development practices. * Strong analytical and problem-solving skills. * Good communication and teamwork abilities. **Preferred Skills** * Experience with OpenAI/LLM APIs, LangChain, Hugging Face, or similar AI tools. * Knowledge of databases and SQL. * Familiarity with REST APIs and cloud platforms such as AWS, Azure, or Google Cloud. * Experience working on AI/ML academic or personal projects. * Understanding of model deployment and MLOps concepts. Qualifications * Currently pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Electronics, or a related field. * Students with strong AI/ML projects and practical skills are encouraged to apply. What You Will Gain Hands-on experience working on real-world AI projects. Exposure to Machine Learning, Generative AI, and LLM-based applications. Experience with industry-standard AI development tools and frameworks. Mentorship from experienced engineers. Opportunity to build a strong portfolio of AI projects and gain industry experience.