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Open nowPosted 11 days ago

Databricks AI Architect | Híbrido- Guarulhos

Gupy (Portal de Vagas)74,832 open roles

Where
São Paulo, Brazil
Work mode
Hybrid
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Your applicationOpen nowDatabricks AI Architect | Híbrido- GuarulhosGupy (Portal de Vagas) · São Paulo, Brazil

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Gupy (Portal de Vagas)'s own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Gupy (Portal de Vagas) postings stay open a median of 1 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.0%30 days
This job: posted 11 days ago

Gupy (Portal de Vagas) median: 1 days open

The posting

.Responsabilidades e atribuições Definir arquiteturas de dados escaláveis utilizando o paradigma Lakehouse;Projetar e especificar soluções em Databricks para ingestão, processamento, armazenamento e consumo de dados;Estabelecer padrões de modelagem, governança, segurança e qualidade de dados;Definir estratégias de integração com sistemas corporativos, APIs e plataformas externas;Garantir a escalabilidade, performance e observabilidade das soluções implementadas;Conduzir revisões técnicas e apoiar times de engenharia na implementação das soluções;Definir arquiteturas para soluções de Machine Learning e IA Generativa;Projetar e implementar pipelines de treinamento, avaliação e deploy de modelos;Estruturar soluções baseadas em RAG (Retrieval Augmented Generation);Definir estratégias de vetorização, busca semântica e uso de bancos vetoriais;Apoiar a construção, desenvolvimento e evolução de assistentes virtuais, agentes inteligentes e copilots corporativos.

Requisitos e qualificações Experiência na definição de arquiteturas de dados escaláveis utilizando o paradigma Lakehouse;Conhecimento em Databricks para ingestão, processamento, armazenamento e consumo de dados;Conhecimento em modelagem, governança, segurança e qualidade de dados;Experiência na integração com sistemas corporativos, APIs e plataformas externas;Conhecimento em escalabilidade, performance e observabilidade de soluções de dados;Capacidade de conduzir revisões técnicas e apoiar times de engenharia;Conhecimento em arquiteturas de Machine Learning e IA Generativa;Experiência na construção de pipelines de treinamento, avaliação e deploy de modelos;Conhecimento em soluções baseadas em RAG (Retrieval Augmented Generation);Conhecimento em vetorização, busca semântica e bancos vetoriais;Experiência com assistentes virtuais, agentes inteligentes e copilots corporativos.Atuação híbrida em Guarulhos - 2x por semana

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