
11 - 50 employees
🤝 B2B
📚 Education
B2B • Education
Grupo GBI is a global event and conference organizer specializing in the coordination and development of high‑level, multisector congresses and executive gatherings across Latin America. The company curates expert speakers and delivers premium in-person events—often at luxury venues—designed to facilitate networking, benchmarking, and professional learning for senior executives and corporate clients. Grupo GBI emphasizes ethical standards, professionalism, and tailored event production services for B2B audiences.
🕒 February 27
🗣️🇧🇷🇵🇹 Portuguese Required
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🤝 B2B
📚 Education
B2B • Education
Grupo GBI is a global event and conference organizer specializing in the coordination and development of high‑level, multisector congresses and executive gatherings across Latin America. The company curates expert speakers and delivers premium in-person events—often at luxury venues—designed to facilitate networking, benchmarking, and professional learning for senior executives and corporate clients. Grupo GBI emphasizes ethical standards, professionalism, and tailored event production services for B2B audiences.
• Design, implement and maintain cloud environments capable of supporting AI workloads in a scalable and resilient manner. • Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines for training, versioning and deploying models and applications. • Work directly on the development and integration of AI-based solutions into the company's ecosystem. • Build data pipelines that ensure the quality, availability and governance of the data used by the models. • Translate complex requirements into functional architectures, following best practices for security, performance and cost optimization.
• Degree in Engineering (Software, Computer Science, Data, or related fields) or equivalent professional experience. • Solid experience with at least one major cloud provider (AWS, Azure, or GCP), with a conceptual understanding that enables work in multi-cloud environments. • Experience with AI frameworks and/or large language models (LLMs), API integration, and deploying models to production. • Hands-on experience with Docker, Kubernetes and Infrastructure-as-Code tools (Terraform, Ansible, or similar). • Proficiency in Python (required) and knowledge of microservices-based architectures.
Apply Now🕒 October 30, 2025
Machine Learning Engineer focusing on designing and deploying AI/ML solutions for RHF Talent. Involves complex workflow optimization and generative model implementation.
🗣️🇧🇷🇵🇹 Portuguese Required
Pandas
PySpark
SQL