Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Build multilingual embedding pipeline
- Create RAG evaluation approach
- Ensure compliance with GxP and GDPR
- Implement LLM router and confidence scoring
- Lead RAG core and vector store delivery
- Manage MLOps pipeline versioning and monitoring
- Monitor and improve retrieval and generation quality
- Own retrieval pipeline design and tuning
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Azure AI | BM25 | CI/CD | Cloud platform | Deployment Automation | Embeddings | Google Cloud | Google Cloud Platform | HNSW | Language Models | Large Language Models | MLOps | Model Monitoring | Pipeline versioning | Python | Retrieval-Augmented Generation | Vector Database
Education
N/A
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