Machine Learning Engineer - Large Language Models

Tasks

• Collaborate to build evaluate and deploy deep learning solutions
• Convert optimize and package models for production deployment
• Develop retrieval-augmented generation pipelines
• Fine-tune large language models
• Optimize large language model training
• Prepare clean and curate datasets
• Stay current with llm advancements and ai best practices

Perks/Benefits

• Continuous learning
• Fully remote
• International team collaboration
• Professional development

Skills/Tech-stack

Axolotl | Deep learning | Direct Preference Optimization | Distributed Systems | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Model Quantization | Model Serving | Parameter efficient fine-tuning | Performance optimization | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Retrieval-Augmented Generation | Supervised Fine Tuning | Text Generation | Text generation inference | Transformers | VLLM