Machine Learning Engineer - Large Language Models
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate cross functional teams to build evaluate and deploy deep learning solutions
- Collect prepare clean and curate datasets
- Fine-tune large language models
- Optimize large language models
- Prepare package AI models for production deployment
- Stay up to date with LLM advancements and AI engineering best practices
Perks/Benefits
- Continuous learning and professional development
- Exposure to Open Source AI
- Fully remote work environment
- Inclusive diverse collaborative workplace
- Opportunity to work on cutting-edge technologies
Skills/Tech-stack
Axolotl | 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 | 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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