Machine Learning Engineer - Large Language Models
Tasks
- Collaborate with cross-functional teams
- Collect and curate training datasets
- Deploy AI models to production environments
- Develop retrieval-augmented generation pipelines
- Evaluate deep learning solutions
- Fine-tune large language models
- Optimize large language models
- Package and optimize models for serving
- Prepare clean and label datasets
- Stay current with LLM advancements
Perks/Benefits
- Continuous learning
- Equal opportunity
- Fully remote
- Inclusive workplace
- International collaboration
- Professional development
Skills/Tech-stack
Axolotl | 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 | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | 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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