Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Collect clean and curate datasets
- Convert and optimize models for production deployment
- Fine-tune and optimize large language models
- Serve and evaluate deep learning solutions
- Stay current with LLM research and AI engineering best practices
Perks/Benefits
- Continuous learning and professional development
- Fully remote work environment
- Inclusive diverse workplace
- International team collaboration
Skills/Tech-stack
Axolotl | Deep learning | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama.cpp | Machine Learning | Machine Learning Pipelines | Model Optimization | 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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