ML Platform Engineer — MLOps for Production Deployments

Philip Morris International; Albarraque; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Philip Morris International is seeking an experienced professional to design and scale a production-grade ML/MLOps platform. You will implement Databricks MLOps, build CI/CD pipelines, and help maintain an AWS SageMaker environment.

You will automate infrastructure with Python and Terraform, support a multi-tenant architecture across AWS accounts, and collaborate with data scientists to enable reliable production model deployments.

Qualificações

• 4–6 years building production infrastructure for ML or data workloads.
• Deep knowledge of Databricks or AWS SageMaker (Databricks preferred).
• Strong AWS fundamentals (IAM, networking, compute).
• Proficient in Python automation and Terraform/IaC.
• Understand the full ML lifecycle: training, versioning, deployment, monitoring.

Responsabilidades

• Design, build, and scale a production-grade ML/MLOps platform.
• Implement Databricks MLOps environments, CI/CD pipelines, and monitoring.
• Maintain and improve the AWS SageMaker ML platform.
• Automate infrastructure and workflows using Python and Terraform.

Conhecimentos

Databricks

AWS SageMaker

Python

Terraform / IaC

CI/CD pipelines

Kubernetes (EKS)

Airflow

Descrição da oferta de emprego

Philip Morris International is seeking an experienced professional to design and scale a production-grade ML/MLOps platform. You will implement Databricks MLOps, build CI/CD pipelines, and help maintain an AWS SageMaker environment.

You will automate infrastructure with Python and Terraform, support a multi-tenant architecture across AWS accounts, and collaborate with data scientists to enable reliable production model deployments.