Data Scientist

Há 3 dias

São Paulo, São Paulo, Brasil Future Secure AI Tempo inteiro

Join to apply for the Data Scientist (JR, SR, STAFF) role at Future Secure AI

5 months ago Be among the first 25 applicants

Join to apply for the Data Scientist (JR, SR, STAFF) role at Future Secure AI

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This range is provided by Future Secure AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Habilidades Principais
Análise de Dados
Modelagem Estatística
Machine Learning
Processamento de Linguagem Natural (PLN)
Experiência com GCP
MLOps
Programação em Python
Comunicação com Stakeholders
Trabalho em Equipe
Governança de Dados
Habilidades Desejáveis
Experiência com arquiteturas de modelos baseadas em Transformers
Familiaridade com frameworks de agentes autônomos
Conhecimento em análise de séries temporais
Experiência com outras plataformas de nuvem (AWS, Azure)
Desenvolvimento de APIs para modelos de machine learning
Visualização de dados interativa (Streamlit, Plotly, Dash)
Qualificações
Formação acadêmica relevante: Doutorado ou Mestrado em Ciência de Dados, Matemática, Estatística, Ciência da Computação ou áreas relacionadas
Experiência profissional: 4 anos na indústria
Experiência comercial com técnicas de PLN: LSTM/CNN/Transformers e/ou modelagem tópica
Experiência comercial com GCP: BigQuery, IAM, Cloud Run, frameworks multi-agentes
Experiência em Python e Natural Language Processing: 3-4+ anos
Excelente comunicação com stakeholders
Capacidade de trabalhar bem com feedback aberto
Capacidade de liderar aspectos do desenvolvimento de IA
Capacidade de trabalhar em um ambiente ágil
Desejo de se destacar em cada disciplina
Disponibilidade para trabalhar presencialmente: Avenida Angélica 2350, São Paulo Capital
Desenvolver e implementar modelos de machine learning: Criar modelos que impactem profundamente os produtos e usuários finais.
Analisar grandes conjuntos de dados: Identificar tendências e padrões significativos.
Trabalhar em métricas de qualidade: Avaliar a qualidade das cadeias de saída de LLM.
Planejar e implementar pipelines MLOps: Garantir a qualidade e conformidade dos modelos através de monitoramento contínuo.
Fornecer insights para decisões de longo prazo: Contribuir para a governança de dados e melhores práticas éticas de IA.
Colaborar com engenheiros e stakeholders: Implementar soluções inovadoras em conjunto.
Mentorar cientistas de dados juniores: Orientar e desenvolver a equipe mais jovem.
A vaga aceita trabalho remoto?
Não

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology
  • Industries Software Development

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