LLmops
Tasks
- Align LLM capabilities with business goals
- Allocate resources across backlogs
- Architect LLM workflows
- Build and mentor ML team
- Define LLMOps vision
- Deploy LLMs to production
- Develop RAG pipelines
- Ensure responsible AI implementation
- Establish model governance best practices
- Implement fine tuning evaluation deployment monitoring
- Integrate LLMs with enterprise systems and APIs
- Lead pre-sales and proposals
- Manage LLM application lifecycle
- Monitor model performance
- Set up CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Azure | CI/CD | Cloud platform | Containerization | Fine Tuning | Google Cloud | Google Cloud Platform | Hugging Face | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Governance | Model Monitoring | NLP | Retrieval-Augmented Generation | Transformers | Vector Databases
Education
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