ML Infra Data Engineer — Cloud, CI/CD, SageMaker

Philip Morris International; Albarraque; Híbrido; EUR 31 000 - 42 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Life and Health insurance

Pension Plan

Hybrid working model

International opportunities

Diverse and international environment

Resumo da oferta

Philip Morris International is seeking a data engineer / MLOps specialist to design and operate scalable data pipelines and ML workflows. You will manage cloud infrastructure using Terraform and AWS, develop SageMaker training and deployment pipelines, and maintain Docker/Kubernetes-based applications.

Role emphasizes CI/CD, security, monitoring, and collaboration across teams to accelerate AI-driven outcomes. Hybrid work arrangement offered in Portugal/Poland.

Qualificações

• 3–5 years in Data Engineering, MLOps or similar roles.
• Experience with CI/CD pipelines, release management and deployment automation.
• Hands-on with Terraform and Infrastructure as Code.
• Knowledge of AWS services including IAM, VPC, S3 and CloudWatch.
• Experience with SageMaker; Docker and Kubernetes proficiency.
• Python for data/ML applications; strong observability practices.

Responsabilidades

• Build and maintain data pipelines and CI/CD workflows for ML solutions.
• Automate testing, deployment, versioning, and release processes.
• Manage cloud infrastructure using Terraform and AWS.
• Develop and operate SageMaker training/deployment workflows.
• Build and support applications using Docker and Kubernetes.
• Monitor and improve platform reliability, security and performance.

Conhecimentos

Data engineering

MLOps

CI/CD pipelines

Terraform

AWS

SageMaker

Docker & Kubernetes

Python

Observability & reliability

Ferramentas

Terraform & IaC

AWS (IAM, VPC, S3)

SageMaker

Docker

Kubernetes / EKS

CloudWatch

Descrição da oferta de emprego

Philip Morris International is seeking a data engineer / MLOps specialist to design and operate scalable data pipelines and ML workflows. You will manage cloud infrastructure using Terraform and AWS, develop SageMaker training and deployment pipelines, and maintain Docker/Kubernetes-based applications.

Role emphasizes CI/CD, security, monitoring, and collaboration across teams to accelerate AI-driven outcomes. Hybrid work arrangement offered in Portugal/Poland.