Machine Learning Engineer - Large Language Models

Tasks

• Build retrieval-augmented generation pipelines
• Deploy machine learning models to production
• Evaluate and improve deep learning solutions
• Fine-tune large language models
• Optimize large language models
• Package and optimize models for serving environments
• Prepare clean and curate datasets
• Stay current with LLM advancements

Perks/Benefits

• Continuous learning
• Exposure to Open Source AI
• Fully remote work
• Inclusive diverse workplace
• International team collaboration
• Professional development opportunities

Skills/Tech-stack

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