Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate on deep learning solutions
- Convert optimize and package models for production deployment
- Evaluate and deploy machine learning solutions
- Fine-tune large language models
- Monitor and improve model performance and reliability
- Optimize large language models
- Prepare clean curate datasets
Perks/Benefits
- Continuous learning and professional development
- Exposure to impactful projects
- Fully remote work
- 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 | Model Serving | Parameter efficient fine-tuning | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Quantization | 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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