ML Engineer — Production ML Pipelines on AWS SageMaker

InnoTech; Porto; Presencial; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Mental health support

25 vacation days

Birthday/bridging day

Pet care partnerships

Pet bereavement day

Team events

Sustainability initiatives

Resumo da oferta

InnoTech in Porto, Portugal is seeking a skilled ML Engineer to design, build, and scale data pipelines and ML infrastructure for production-ready services.

You will deploy ML models, create APIs, and establish MLOps practices including CI/CD, monitoring, and model lifecycle management across cloud-native environments. Strong Python skills and experience with AWS SageMaker are preferred.

Qualificações

• At least 5 years of professional ML or backend engineering experience.
• Hands-on with end-to-end ML pipelines and model deployment.
• Experience with AWS SageMaker and cloud services.
• EU work permit or CPLP nationality.

Responsabilidades

• Design, build, and maintain scalable ML pipelines and infrastructure.
• Develop production-ready ML services, APIs, and workflows.
• Establish and enforce MLOps practices including CI/CD and monitoring.

Conhecimentos

Python

ML pipelines

MLOps

AWS SageMaker

Docker

Kubernetes

SQL/NoSQL

Formação académica

BSc/MSc in CS/Engineering/IT

Ferramentas

MLflow

Kubeflow

Descrição da oferta de emprego

InnoTech in Porto, Portugal is seeking a skilled ML Engineer to design, build, and scale data pipelines and ML infrastructure for production-ready services.

You will deploy ML models, create APIs, and establish MLOps practices including CI/CD, monitoring, and model lifecycle management across cloud-native environments. Strong Python skills and experience with AWS SageMaker are preferred.