Machine Learning Engineer - Large Language Models

Tasks

• Build retrieval-augmented generation pipelines
• Collaborate to evaluate and deploy deep learning solutions
• Deploy models across serving environments
• Fine-tune large language models
• Optimize large language models
• Package models for production deployment
• Prepare and curate training datasets
• Stay current with large language model advancements

Perks/Benefits

• Continuous learning and professional development
• Fully remote
• Inclusive collaborative workplace
• International team collaboration

Skills/Tech-stack

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