Machine Learning Intern
Core
Building, testing, and improving AI systems for conversational agents, voice recognition, and NLP applications.
Role type
Machine Learning Intern
Builds
AI voice agents, voice recognition systems, and NLP applications
Domain
Voice AI, Large Language Models, Speech Processing
Deliverable
production ML models
Required skills
Python, machine learning, deep learning, NLP concepts (tokenization, embeddings, transformers), LLMs (GPT, BERT), STT (Whisper)
Preferred skills
PyTorch, TensorFlow, cloud platforms (AWS, GCP, Azure), Docker, vector databases, Retrieval-Augmented Generation (RAG)
Responsibilities
Research and experiment with LLM, STT, and TTS models; Support model training, fine-tuning, and evaluation; Prepare and preprocess text and audio datasets; Build training and inference pipelines; Test and benchmark models for accuracy and performance
Seniority
Intern