AWS Data Scientist

4 semanas atrás

Brasil Compass Tempo inteiro

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Informações adicionais

#remote

Responsabilidades e atribuições

  • Desenvolver soluções de ML fim a fim: da concepção e modelagem até o deploy em produção;
  • Automatizar ciclo de vida de ML: implementação e manutenção de pipelines no SageMaker para orquestração de treinamento, validação e deploy;
  • Otimização contínua de modelos: realização de análise exploratória de dados, alinhamento com requisitos de negócio e monitoramento de métricas de desempenho;
  • Mentoria técnica: acompanhamento e orientação de profissionais Júnior em atividades de ciência de dados e MLOps;
  • Integrar modelos via APIs: criação de funções em AWS Lambda e exposição via API Gateway para integração com sistemas legados e novas aplicações;
  • Desenhar arquitetura de soluções de ML: definição de infraestrutura, fluxos de dados e melhores práticas em conjunto com o time de arquitetura do cliente.

Requisitos e qualificações
  • AWS: domínio de SageMaker (treinamento, tuning e pipelines), Step Functions, Lambda, API Gateway e S3;
  • Experiência em NLP, NLU, LLMs, RAG;
  • Vivência em Inteligência Artificial, com foco em GenAI;
  • Cloud computing, frameworks como TensorFlow, Keras ou PyTorch;
  • Domínio em Python;
  • Modelagem de dados e ML: experiência em criação, treinamento e validação de modelos tradicionais (principalmente regressão e classificação);
  • MLOps: boas práticas de automação de processos (CI/CD), versionamento de dados e modelos, monitoramento e re-treinamento programado.
  • Arquitetura de soluções: capacidade de propor e documentar arquiteturas escaláveis e seguras, considerando custos e performance.

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Informações adicionais

#remote

"remote"Seniority level
  • Seniority levelNot Applicable
Employment type
  • Employment typeFull-time
Job function
  • Job functionOther
  • IndustriesIT Services and IT Consulting

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