Responsibilities of the Intern:
- Work with AI and ML models (LLMs, ML, DL, NLP) under mentor guidance
- Assist in training, fine-tuning, and evaluating machine learning models
- Help in building small AI tools, prototypes, and automation scripts
- Support in dataset preparation, cleaning, annotation, and labeling
- Assist in generating test cases, Q&A sets, and evaluation datasets
- Contribute to creating AI-powered features for internal projects
- Participate in research tasks and summarize findings from AI papers
- Collaborate with the team and attend regular discussions or sync-ups
- Document experiments, observations, and improvements clearly
Requirements:
Ability to commit 20 hours per week
Basic understanding of Machine Learning / Deep Learning concepts
Familiarity with Python and AI libraries (NumPy, Pandas, TensorFlow, PyTorch)
Interest in working with LLMs, NLP, and AI automation
Experience with small AI/ML projects (college, personal, course-based) is a plus
Knowledge of data preprocessing and model evaluation methods
Willingness to learn fast and try out new AI tools and techniques
Good research skills and curiosity about modern AI advancements
