RD Station
1001 - 5000 employees
Founded 2011
☁️ SaaS
🤝 B2B
🛍️ eCommerce
SaaS • B2B • eCommerce
RD Station is a Brazilian SaaS company that provides integrated marketing automation, CRM and customer service solutions. Its platform helps businesses attract and qualify leads, run email and WhatsApp campaigns, create landing pages, automate sales processes, deploy chatbots and manage omnichannel conversations, with analytics and AI features as well as an app marketplace and developer APIs. RD Station targets companies and agencies seeking to connect marketing, sales and support workflows to drive growth and retention.
Cientista de Dados – IA Generativa
Job not on LinkedIn
🕒 2 days ago
🗣️🇧🇷🇵🇹 Portuguese Required
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RD Station
1001 - 5000 employees
Founded 2011
☁️ SaaS
🤝 B2B
🛍️ eCommerce
SaaS • B2B • eCommerce
RD Station is a Brazilian SaaS company that provides integrated marketing automation, CRM and customer service solutions. Its platform helps businesses attract and qualify leads, run email and WhatsApp campaigns, create landing pages, automate sales processes, deploy chatbots and manage omnichannel conversations, with analytics and AI features as well as an app marketplace and developer APIs. RD Station targets companies and agencies seeking to connect marketing, sales and support workflows to drive growth and retention.
📋 Description
• Definir visão, arquitetura e estratégia técnica para IA generativa; • Desenvolver soluções com agentes autônomos, copilotos inteligentes e assistentes personalizados; • Atuar como referência técnica para o time de ciência de dados, apoiando no desenvolvimento técnico e adoção de boas práticas; • Propor e implementar padrões de engenharia de software e ciência de dados, como versionamento, reprodutibilidade e documentação; • Colaborar com times de engenharia, produto e dados para garantir integrações eficientes e uso sustentável da infraestrutura de dados.
🎯 Requirements
• Experiência consolidada em IA generativa, agentes autônomos e soluções SaaS com componentes generativos; • Domínio de Python e bibliotecas como Pandas, Numpy, Scikit-learn, LangChain ou equivalentes; • Conhecimento sólido em IA tradicional, incluindo redes neurais, modelagem supervisionada e não supervisionada; • Fluência em engenharia de dados, SQL e manipulação de dados estruturados e não estruturados; • Vivência com arquitetura de APIs, microsserviços, MLOps e deployment em produção.
🏖️ Benefits
• N/A
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