
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
1001 - 5000 employees
Founded 1996
🤝 B2B
July 3
🗣️🇧🇷🇵🇹 Portuguese Required

B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
1001 - 5000 employees
Founded 1996
🤝 B2B
• Projetar e implementar arquiteturas de MLOps escaláveis e eficientes. • Otimizar e automatizar o ciclo de vida completo dos modelos de ML (treinamento, validação, implantação, monitoramento e retreinamento). • Garantir a qualidade, segurança e conformidade dos modelos em produção. • Colaborar com equipes multifuncionais para identificar e resolver desafios de MLOps. • Fornecer orientação técnica e as melhores práticas para a equipe.
• Experiência comprovada em projetos de MLOps, incluindo design, implementação e manutenção de pipelines de ML em produção. • Conhecimento sólido em ferramentas e plataformas de MLOps (e.g., MLflow, Kubeflow, Sagemaker, Bedrock). • Proficiência em linguagens de programação como Python. • Familiaridade com contêineres (Docker) e orquestração (Kubernetes). • Experiência com infraestrutura em nuvem AWS. • Sólidos conhecimentos em RedShift e Databricks. • Conhecimento em automação, monitoramento e otimização de modelos. • Excelente capacidade de comunicação e colaboração para trabalhar com equipes de cientistas de dados e engenheiros. • Necessário inglês Fluente.
• Uma cultura de igualdade • Diversidade 🏳🌈 e multiculturalismo 🌍são vivenciados na Keyrus: estamos em constante contato com pessoas de diferentes partes do mundo • Troca de conhecimentos e ideias para entregar projetos de excelente qualidade.
Apply NowJune 7
Engenheiro de Machine Learning Sênior para projetar e implementar modelos em cloud (AWS). Oportunidade 100% remota.
🗣️🇧🇷🇵🇹 Portuguese Required
April 26
Join as a Senior Machine Learning Engineer to develop and manage scalable systems for data workflows.
🗣️🇧🇷🇵🇹 Portuguese Required
April 23
Analista Machine Learning para GFT, com foco em desenvolver e otimizar modelos de machine learning.
🗣️🇧🇷🇵🇹 Portuguese Required
March 18
Seeking Machine Learning Engineer to enhance data architecture performance remotely for Data Discovery team.
🗣️🇧🇷🇵🇹 Portuguese Required