Applied AI scientist
Tasks
- Build applied AI solutions
- Build evaluation using golden datasets
- Collaborate with data engineers and architects
- Conduct AI experiments
- Design AI use cases
- Design retrieval and chunking strategies
- Ensure safe compliant AI use
- Evaluate external AI vendors
- Implement AI guardrails
- Implement RAG solutions
- Implement prompt and context engineering
- Perform regression testing
- Run automated quality checks
- Select models and solution approaches
- Set up human review loops
- Support MLOps and productionization
Perks/Benefits
- N/A
Skills/Tech-stack
AI guardrails | Automated Quality | Automated Quality Checks | Azure AI | CI/CD | Chunking | Compliance | Context engineering | Deployment | Embeddings | Golden Dataset | Google Vertex | Google Vertex AI | Human review | LLM-as-a-Judge | MLOps | Model selection | Monitoring | Prompt engineering | Quality checks | RAG | Regression testing | Retrieval-Augmented Generation | Vector Search | Vertex AI
Education
Roles
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