Machine Learning Engineer - Large Language Models
Tasks
- Collaborate with cross-functional teams
- Collect and curate datasets
- Develop RAG pipelines
- Evaluate and deploy deep learning solutions
- Fine-tune large language models
- Optimize large language models
- Package models for production deployment
- Prepare and clean datasets
- Serve models in production environments
- Stay current with LLM advancements
Perks/Benefits
- Continuous learning opportunities
- Fully remote work
- Inclusive workplace
- International collaboration
- Open source exposure
- Professional development
Skills/Tech-stack
Axolotl | Direct Preference Optimization | Distributed Systems | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Model Quantization | Parameter efficient fine-tuning | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Python | RAG | 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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