Runtalent
B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
Engenheiro de Machine Learning Senior
August 15
🗣️🇧🇷🇵🇹 Portuguese Required
Runtalent
B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
📋 Description
• Este é um cargo remoto. • Engenheiro de Machine Learning Senior. • 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: Infraestrutura como código (Terraform, CloudFormation). • Participação em projetos de ML em produção com foco em confiabilidade e rastreabilidade.
🎯 Requirements
• 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.
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