Especialista em Ciência de Dados | IA Generativa e Agentes
Tasks
- Collaborate with business teams on real use cases
- Conduct hands on model integration and validation
- Design experiments datasets baselines and evaluation metrics
- Develop agents and proofs of concept
- Develop reusable benchmarks methods and accelerators
- Evaluate end to end agent quality and robustness
- Implement responsible AI quality security and privacy requirements
- Investigate failures in agents and retrieval flows
- Monitor agent performance cost latency and quality
- Research generative AI approaches
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent Frameworks | Agent systems | Chunking | Embeddings | Fine Tuning | GCP | Generative AI | Graph RAG | Grounding | Knowledge Retrieval | Knowledge graphs | LLMOps | Language Models | Large Language Models | LoRA | Memory systems | Model Evaluation | Multi-Agent | Multi-Agent Systems | Multimodal Models | Observability | PEFT | Prompt engineering | Python | Quantization | RAG | Reranking | Retrieval | Small Language Models | Tool orchestration | Tracing | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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