AI Engineer (Biometrics and Data Science)
Tasks
- Build adapters for review and approval workflows
- Build retrieval and grounding pipelines
- Collaborate with domain stakeholders to refine agent behavior
- Create evaluation frameworks
- Deploy and monitor production systems
- Design AI agents
- Develop guardrails for safe outputs
- Enable provenance and traceability
- Implement prompt strategies
- Integrate agents with repositories and metadata stores
- Maintain audit-ready documentation
- Optimize model selection and inference
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Containerization | Distillation | Embeddings | FastAPI | Knowledge graphs | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Registry | NLP | Observability | Prompt engineering | Python | Quantization | Retrieval-Augmented Generation | Static Analysis | Tool-Calling | Unit Testing | Vector Databases | Vector Search | Version control
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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