Senior Machine Learning Engineer

Mercado de Ti; Brasil; Remote; BRL 180,000 - 300,000; Full time

Job summary

Sentio Group busca Engenheiro(a) Sênior(a) de ML para atuação remota na América Latina, com foco em estabilizar e escalar plataformas de ML no Azure, criar CI/CD, contêineres e ambientes de produção.

Você liderará equipes externas, com 20% hands-on e 80% gestão de parceiros, possuindo 5–8 anos de experiência em ML/AI, operações de plataforma e visão para IA generativa.

Qualifications

• Propriedade de uma plataforma de ML empresarial de produção.
• Experiência prática com Azure ML e Azure AI Foundry.
• CI/CD e automação de infraestrutura construídas pelo(a) próprio(a).

Responsibilities

• Liderar equipes externas para entregar o plano de arquitetura.
• Estabilizar a plataforma de ML existente e ampliar a automação.
• Gerenciar ambientes de desenvolvimento, teste e produção.
• Comunicar-se com stakeholders e manter o roadmap técnico.

Skills

Azure ML

Azure AI Foundry

CI/CD

Containerization

Platform ops

Contractor leadership

Tools

Git

Docker

Job description

# Senior Machine Learning EngineerSentio GroupCandidate-searrow\\_forwardCanal oficial da empresaPjRemotoData Science / IApin\\_dropBrasilschedulehá 4 horasPublicidade# publicidade## O que a vaga pede**AI / ML Ops Engineer | Azure ML & Azure AI Foundry | Long Term Contract**Location: Remote, Latin AmericaA large US enterprise with global operations has built its machine learning and generative AI platforms on Azure. The ML platform is in production and used across the business, but it was built without the engineering underneath it. There is no CI/CD, no release automation and no hands-off operating model.They want someone to fix that. You'll stabilize the platform, build the automation it's missing, and grow it alongside the generative AI platform as adoption increases. There is executive backing and budget behind it.**What you'll do*** Own and extend an enterprise Azure ML platform already in production* Build the CI/CD layer from scratch: Git controls, automated deployments, infrastructure releases* Set up containerization and separate development, test and production environments* Automate the manual overhead out of the platform* Direct external delivery partners so their work matches the architecture**What you need*** Ownership of a real enterprise ML platform, not a proof of concept or a vendor-managed service* Hands-on Azure Machine Learning and Azure AI Foundry. AWS or GCP equivalents won't be considered* CI/CD and infrastructure automation you built yourself* 5 to 8 years across ML, AI and analytics platforms, with at least a year in platform operations* Experience leading contractors or consultancies to deliver against a plan**Nice to have*** Enterprise generative AI platform experience* Copilot or Copilot Studio rollout at scale**How the role works*** About 20% hands-on building and 80% leading external teams. In interview you'll be asked what you personally built, so come ready to talk specifics.Publicidade# publicidade### Dúvidas comunsComo faço para me candidatar?expand\\_moreA vaga é remota?expand\\_moreQual o tipo de contratação?expand\\_moreO que a empresa espera desse perfil?expand\\_moreAté quando posso aplicar?expand\\_more## Pronto para aplicar?Candidatura por link externo oficial.Continuar candidaturaarrow\\_forward