Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate to build evaluate and deploy deep learning solutions
- Collect prepare clean and curate datasets
- Convert optimize and package models for production deployment
- Fine-tune large language models
- Optimize large language models
- Stay up to date on LLM advancements
Perks/Benefits
- Continuous learning
- Fully remote work
- Inclusive workplace
- International team collaboration
- Open source exposure
- Professional development
Skills/Tech-stack
Axolotl | Dataset curation | Deep learning | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Machine Learning | Model Quantization | Model Serving | 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
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