AI & ML Intern

Role Overview

The AI & ML Intern will support the AI team in developing and implementing Machine Learning and Generative AI solutions. This internship offers hands-on exposure to real-world AI projects involving data preparation, model development, experimentation, prompt engineering, and research. The role is ideal for candidates passionate about Artificial Intelligence and eager to build practical industry experience under the guidance of experienced mentors.

Responsibilities

• Assist in Machine Learning and Generative AI project execution.
• Collect, clean, preprocess, and validate structured and unstructured datasets.
• Perform data annotation, labeling, and exploratory data analysis.
• Support the development, training, testing, and evaluation of Machine Learning models.
• Conduct experiments, analyze model performance, and document findings.
• Assist in prompt engineering, prompt optimization, and validation for Large Language Model (LLM) applications.
• Debug and troubleshoot AI/ML models, code, and data processing pipelines.
• Prepare technical documentation, experiment reports, and presentations.
• Maintain project repositories using Git and follow version control best practices.
• Participate in Agile meetings, code reviews, and knowledge-sharing sessions.
• Communicate project progress and collaborate effectively with mentors and team members.
• Complete assigned learning modules, certifications, and research activities throughout the internship.

Requirements

• Bachelor's or master's degree (or currently pursuing the final year) in Computer Science, Artificial Intelligence, Data Science, Information Technology, Electronics, or a related field.
• 0–1 year of experience in AI, Machine Learning, Data Science, or software development.
• Fresh graduates with relevant academic projects, internships, or certifications in AI/ML are encouraged to apply.

Skills

• Python
• Hugging Face
• Git
• AWS
• Large Language Models

Benefits

• Hands-on experience with real-world AI, Machine Learning, and Generative AI projects.
• Structured learning and mentorship from experienced AI professionals.
• Exposure to modern AI frameworks, cloud platforms, and development tools.
• Opportunity to work on innovative solutions using Large Language Models (LLMs) and Agentic AI.
• Supportive, collaborative, and growth-oriented work environment.
• Opportunity to build a strong foundation for a career in Artificial Intelligence and Machine Learning.