AI/ML Intern

About the job

Join Anantahq as an AI/ML Intern and work on applied AI: LLM-powered features, retrieval (RAG), data pipelines and model evaluation for real products. What you'll do: - Prototype LLM features using prompting and retrieval-augmented generation (RAG) - Clean and analyse datasets - Train and evaluate classic ML models - Build evaluation sets and measure model quality - Turn notebooks into clean, reusable Python code What we're looking for: - Strong Python, with Pandas / NumPy - ML fundamentals: train/test splits, overfitting, metrics - Some exposure to LLM APIs or Hugging Face - Bonus: a project using embeddings or a vector database Pay: unpaid to start. A stipend is offered based on performance. Location: Remote. Hiring process: Shortlist → Task → Offer.

Hiring process

The rounds every candidate goes through, so you know what to expect.

1. 1

   Apply

   Your profile and resume

2. 2

   Shortlist

   Review step: the company reviews your application

3. 3

   Task: Ask-the-docs RAG assistant

   A short real-world task, about 5 hours

4. 4

   Offer

   An offer you can accept or decline in HireSol

Skills