Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Fine-tune large language models
- Optimize and package models for production deployment
- Prepare and curate training datasets
- Serve and evaluate deep learning solutions for healthcare
- Stay current with LLM advancements and AI engineering best practices
Perks/Benefits
- Fully remote
- Impactful projects
- Inclusive workplace
- International team collaboration
- Open source exposure
- Professional development
Skills/Tech-stack
Axolotl | Data Curation | Data Preprocessing | Deep learning | Direct Preference Optimization | Distributed Systems | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Machine Learning | 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
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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