Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Deploy and package AI models for production
- Fine-tune large language models
- Optimize large language models
- Prepare and curate training datasets
- Serve and scale deep learning solutions
- Stay current with LLM advancements
Perks/Benefits
- Continuous learning
- Fully remote
- Inclusive workplace
- International collaboration
- Professional development
Skills/Tech-stack
Axolotl | Data Preprocessing | Dataset curation | Deep learning | Direct Preference Optimization | Distributed Team | Distributed team collaboration | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama.cpp | Model Quantization | Parameter efficient fine-tuning | Performance optimization | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Retrieval-Augmented Generation | Supervised Fine Tuning | Team Collaboration | Text Generation | Text generation inference | Transformer | VLLM
Education
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