Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate on deep learning solution development
- Fine-tune large language models
- Optimize large language models
- Package models for production deployment
- Prepare and curate datasets
- Serve and monitor model performance
- Stay current with LLM advancements
Perks/Benefits
- Continuous learning
- Fully remote
- Inclusive workplace
- International collaboration
- Open source exposure
- Professional development
Skills/Tech-stack
Deep learning | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama.cpp | Machine Learning | Machine Learning Infrastructure | 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 | Transformers | VLLM
Education
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