Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate with cross-functional teams
- Collect clean and curate datasets
- Convert optimize and package models for production
- Deploy models to serving environments
- Fine-tune large language models
- Optimize large language models
- Prepare train evaluate and improve models
- Stay updated on LLM advancements
Perks/Benefits
- Continuous learning
- Fully remote
- Inclusive workplace
- International team collaboration
- Professional development
Skills/Tech-stack
Axolotl | Data Curation | Dataset Preparation | Deep learning | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Machine Learning | Model Optimization | Model Quantization | Model Serving | Parameter efficient fine-tuning | Performance Tuning | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Retrieval-Augmented Generation | Scalable machine learning | Supervised Fine Tuning | Text Generation | Text generation inference | Transformer Architecture | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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