Machine Learning Sênior

Há 3 dias

Curitiba, Brasil Runtalent Tempo inteiro

Requisitos: Experiência sólida com engenharia de software aplicada a dados e machine learning.

Proficiência em Python e frameworks como PySpark, Pandas, Scikit-learn ou similares.

Experiência com ferramentas e serviços AWS, como S3, Lambda, Step Functions, Glue, Athena, SageMaker ou ECS. Conhecimento em MLOps e CI/CD para pipelines de dados e modelos.

Experiência com orquestração de workflows.

Capacidade de escrever código limpo, modular e testável.

Diferenciais:

Experiência com infraestrutura como código (Terraform, CloudFormation).

Participação em projetos de ML em produção com foco em confiabilidade e rastreabilidade.

Responsabilidades principais:

Projetar e implementar pipelines de validação de dados e avaliação de modelos em ambiente cloud (AWS).

Integrar dados e métricas de avaliação em um fluxo automatizado e auditável.

Modularizar o pipeline para facilitar reuso, testes e manutenção.

Trabalhar em colaboração com times de Data Science, Engenharia de Dados e Produto.

Garantir boas práticas de versionamento, logging, monitoramento e testes automatizados.

Propor melhorias contínuas na arquitetura de dados e nos processos de validação.

Modelo de atuação: Remoto

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