Generative AI & Machine Learning Engineer Intern

About this role

Batch: 2026/2027/2028. What you'll work on: - Building and experimenting with generative AI systems and large language models - Developing agentic AI solutions that can autonomously perform tasks - Implementing retrieval-augmented generation pipelines to enhance model capabilities - Contributing to machine learning and data science projects across the team - Working on natural language processing and AI research initiatives - Training and evaluating machine learning models for performance optimization - Deploying AI applications in production environments What we're looking for: - Proficiency in Python for building and prototyping AI systems - Solid grasp of machine learning fundamentals and core concepts - Familiarity with data science principles and statistical methods - Hands-on experience with Pandas, NumPy, and Scikit-Learn libraries - Foundational knowledge of deep learning architectures and techniques - Background or interest in large language models, prompt engineering, or generative AI applications - Comfort with Git version control and standard software development practices - Strong analytical mindset with the ability to solve complex technical problems About the role: - MyManah is seeking interns with a genuine interest in artificial intelligence and machine learning technologies - You will explore cutting-edge areas including LLMs, agentic AI, RAG systems, and real-world AI implementations - This is an opportunity to work on applied problems that bridge research and production - You'll gain exposure to the full lifecycle of AI model development and deployment