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Empregos Cultura em Sacavém

1 - 15 de 18
1 - 15 de 18
Resultados de Pesquisa - Empregos Cultura em Sacavém
Zendesk-Sacavém
observability, cost efficiency, and performance optimization. Partner with stakeholders to ensure platform investments align with Zendesk's AI/ML roadmap and business priorities. Foster a culture of technical excellence, inclusion, and mentorship within the...
Zendesk-Sacavém
Continuously learn new programming languages, frameworks, and best practices to enhance development capabilities. Engage in technical discussions, planning, retrospectives, and team rituals within a remote-friendly, inclusive culture, following Agile...
Zendesk-Sacavém
culture, following Agile methodologies.  •  Troubleshoot and resolve technical issues related to internationalization features.  •  Contribute to a culture of innovation, technical inquisitiveness, and continuous improvement.  •  Be part of company-wide...
Zendesk-Sacavém
observability, cost efficiency, and performance optimization.  •  Partner with stakeholders to ensure platform investments align with Zendesk's AI/ML roadmap and business priorities.  •  Foster a culture of technical excellence, inclusion, and mentorship within...
Zendesk-Sacavém
to-earth culture. We are looking for a Machine Learning Engineering Manager to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you'll be doing Lead a team of experienced Machine Learning...
Zendesk-Sacavém
and down-to-earth culture. We are looking for a Staff Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you'll be doing Work closely with ML Scientists to help...
Zendesk-Sacavém
and down-to-earth culture. We are looking for a Senior Software Engineer to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you'll be doing Work closely with ML Scientists to help bring ML...
Zendesk-Sacavém
to-earth culture. We are looking for a Machine Learning Engineering Manager to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you'll be doing  •  Lead a team of experienced Machine...
Zendesk-Sacavém
and down-to-earth culture. We are looking for a Staff Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you'll be doing  •  Work closely with ML Scientists to...
Zendesk-Sacavém
and down-to-earth culture. We are looking for a Senior Software Engineer to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you'll be doing  •  Work closely with ML Scientists to help bring ML...
Zendesk-Sacavém
to-earth culture. We are looking for a Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you will be doing Work closely with ML Scientists and Senior...
Zendesk-Sacavém
internally. Champion initiatives to improve the quality and robustness of Zendesk AI capabilities. Mentor junior scientists and help grow the ML research culture. Key challenges / use cases How do we enrich customer service conversations with accurate...
Zendesk-Sacavém
reliability. Partner with applied ML, product, and infrastructure teams to align platform investments with AI roadmap priorities. Establish strong engineering practices around observability, reliability, security, and cost monitoring. Foster a team culture...
Zendesk-Sacavém
to-earth culture. We are looking for a Machine Learning Engineering Manager to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale. What you will be doing Lead a team of experienced Machine...
Zendesk-Sacavém
and share knowledge internally.  •  Champion initiatives to improve the quality and robustness of Zendesk AI capabilities.  •  Mentor junior scientists and help grow the ML research culture. Key challenges / use cases  •  How do we enrich customer service...
12

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