Ultralytics LLM Engineer
Tasks
- Build internal LLM powered tools
- Collaborate to build AI solutions
- Design and deploy RAG applications
- Develop LLM APIs and tools
- Engage open source community
- Ensure SOC 2 and ISO compliance
- Implement automated data quality checks
- Implement query enrichment and reranking
- Integrate LLMs with product workflows
- Optimize model performance for scalability and efficiency
- Research fine tune and deploy LLMs
- Write and maintain technical documentation
Perks/Benefits
- Birthday off
- Home setup allowance
- Hybrid work
- Independent contractor eligibility
- Local holidays
- MacBook Air
- Paid vacation
- Remote work
Skills/Tech-stack
API Development | AWS | Azure | Data Quality | Debugging | Docker | Embeddings | Fine Tuning | Google Cloud | Language Models | Language Processing | Large Language Models | Model Deployment | Model Optimization | NLP | NLP tokenization | Natural Language | Natural Language Processing | Python | Query Reranking | RAG | Retrieval-Augmented Generation | Tokenization | Transformers
Education
N/A
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