AI / ML Internship

Job Description:

Responsibilities

• Research & Benchmarking — survey latest models, tools, and papers summarize findings for the team.
• Prompt Writing & Testing — write, iterate, and evaluate prompts across different LLMs and tasks.
• Model Evaluation & Testing — run structured evaluations, log results, and identify failure patterns.
• Data Work — collection, cleaning, annotation, and quality checks as needed by the team.
• Documentation — write clear technical notes, how-to guides, and experiment logs.
• Team Collaboration — participate in standups, sprint planning, and design reviews.

Qualification & Experience

• Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, Electronics, Mathematics, or a related field.
• Final-year students and fresh graduates are welcome to apply.
• Python basics — ability to write scripts, run notebooks, and understand existing code.
• Familiarity with any ML/DL concept — even from coursework or self-study counts.
• Exposure to tools like Jupyter, Google Colab, HuggingFace, or OpenAI API.
• Basic understanding of NLP, computer vision, or LLMs — at any depth.
• Comfortable using Git for version control.