Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate on evaluation and deployment of deep learning solutions
- Fine-tune and optimize large language models
- Maintain and improve model performance and reliability
- Package and deploy AI models to production
- Prepare clean and curate datasets
Perks/Benefits
- Continuous learning
- Fully remote
- Inclusive workplace
- International collaboration
- Professional development
Skills/Tech-stack
Axolotl | Data cleaning | Dataset Preparation | Deep learning | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | 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 | Transformer | VLLM
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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