Senior AI Engineer
Tasks
- Build feedback loops for model improvement
- Design and implement ETL pipelines
- Develop intent detection ranking and contextual response logic
- Generate embeddings and maintain vector databases
- Integrate APIs test and deploy AI models
- Integrate LLMs and fine tune prompts for chatbot interactions
- Optimize performance security and scalability of AI ML components
- Track metadata and enforce role based access and compliance
Perks/Benefits
Skills/Tech-stack
API Integration | AWS Bedrock | Access Control | ETL | Embeddings | FastAPI | Langchain | Language Models | Language Processing | Large Language Models | Model Deployment | Natural Language | Natural Language Processing | NumPy | OpenAI | PGVector | Pandas | Performance optimization | PostgreSQL | Prompt engineering | Python | Role-Based Access | Role-Based Access Control | Scalability | Security | Vector Search
Education
N/A
Roles
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