Machine Learning Engineer - Large Language Models
Tasks
- Collaborate to build evaluate and deploy deep learning solutions
- Convert optimize and package models for production deployment
- Develop retrieval-augmented generation pipelines
- Fine-tune and optimize large language models
- Prepare clean and curate training datasets
- Stay up to date on LLM and AI engineering best practices
Perks/Benefits
- Continuous learning
- Exposure to open source AI projects
- Fully remote
- Inclusive workplace
- International team collaboration
- Professional development
Skills/Tech-stack
Axolotl | Data Preparation | 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 | Python | Retrieval-Augmented Generation | Supervised Fine Tuning | Text Generation | Text generation inference | Transformers | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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