Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Convert and package AI models for production deployment
- Deploy and evaluate deep learning solutions
- Fine-tune large language models
- Monitor and improve model performance and reliability
- Optimize large language models
- Prepare and curate training datasets
Perks/Benefits
- Continuous learning and professional development
- Exposure to Open Source AI
- Fully remote work environment
- Inclusive diverse collaborative workplace
- Opportunity to work on cutting-edge AI
Skills/Tech-stack
Axolotl | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama.cpp | Machine Learning | Machine Learning Infrastructure | Model Quantization | Model Serving | 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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