Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Fine-tune large language models
- Monitor and improve model performance
- Optimize large language models
- Package models for production deployment
- Prepare and curate training datasets
- Serve and evaluate deep learning models
Perks/Benefits
- Continuous learning
- Fully remote work
- Inclusive workplace
- Opportunity to work on cutting-edge AI
- Professional development
Skills/Tech-stack
Axolotl | 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 | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Retrieval-Augmented Generation | Scalable machine learning | Supervised Fine Tuning | Text Generation | Text generation inference | Transformers | VLLM
Education
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