AI/ML Intern

Batch: 2027. Required Qualifications: - Students in B.Tech/B.E. graduating in 2027 (CSE, EE, AI/ML, or related fields) - Strong interest in speech, audio, NLP, or multimodal AI - Fine-tuning speech or language models (Whisper, wav2vec2, HuBERT, etc.) - Building speech-driven pipelines, classifiers, or assistants - Working with PyTorch, TensorFlow, or Hugging Face Transformers - Cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes) Preferred Qualifications: - Open-source contributions, GitHub projects, Kaggle experience - Experience with multilingual or low-resource speech data - Familiarity with ETL workflows, data versioning (DVC, MLflow), or orchestration (Airflow, Prefect)