Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Convert optimize and package models for production deployment
- Fine-tune large language models
- Optimize large language models
- Prepare clean curate datasets
- Serve and evaluate deep learning solutions
- Stay current with LLM advancements
Perks/Benefits
- Continuous learning
- Exposure to Open Source AI
- Fully remote work
- International 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 Compression | Model Quantization | 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
Education
N/A
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