Machine Learning Engineer
Core
Develop, improve, and evaluate modern machine learning systems with a focus on Large Language Models (LLMs) and transformer-based architectures.
Role type
Machine Learning Engineer (LLM/Transformer focus)
Builds
AI projects involving LLMs and transformer-based models
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, Hugging Face Transformers, model fine-tuning, prompt engineering, model evaluation
Preferred skills
transformer-based model implementation, model optimization
Technologies
Python, PyTorch, Hugging Face Transformers
Responsibilities
Review and navigate established machine learning codebases to understand architecture and dependencies; Write, modify, debug, and optimize machine learning solutions; Implement and support transformer-based models and LLM applications; Apply fine-tuning techniques to adapt existing models; Run experiments and evaluate model accuracy and performance; Design and refine prompts to improve model responses.
