We are looking for a versatile AI/ML Intern who is eager to touch every part of the machine learning stack. Whether it is cleaning messy real-world clinical data, researching the latest NLP architectures, or building testing pipelines to ensure our models don't fail in production, you will be a core contributor to our engineering efforts.

• Data Operations: Clean, label, and analyze complex datasets (audio and text) to prepare them for training.
• Pipeline Development: Build and maintain automated test pipelines to validate model performance and catch regressions.
• Applied Research: Conduct literature reviews and experiments on specific topics (e.g., Speech-to-Text optimization, Entity Extraction) to solve novel problems.
• System Building: Contribute to the deployment of robust, production-grade AI systems, moving models from notebooks to APIs.

Requirements

1. Strong proficiency in Python.
2. Familiarity with ML frameworks (PyTorch or TensorFlow) and data libraries (Pandas, NumPy).
3. Academic or project experience in NLP or Computer Vision.
4. Understands LLMs at core level"