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 and optimize large language models
- Prepare and curate datasets
- Stay current with LLM advancements and AI engineering best practices
Perks/Benefits
- Continuous learning
- Fully remote
- Inclusive workplace
- International team collaboration
- Opportunity to Work on Open Source
- Professional development
Skills/Tech-stack
Axolotl | Dataset curation | Deep learning | Direct Preference Optimization | Distributed Teams | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Model Fine-tuning | Model Quantization | Parameter efficient fine-tuning | Policy Optimization | Preference optimization | Production Deployment | Proximal Policy Optimization | PyTorch | Retrieval-Augmented Generation | Supervised Fine Tuning | Text Generation | Text generation inference | Transformer Architectures | VLLM
Education
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