ML Platform Engineer: Scale Production ML & MLOps

Philip Morris International; Albarraque; Presencial; EUR 41 000 - 49 000; Tempo integral

Resumo da oferta

Philip Morris International is seeking an experienced ML Platform Engineer to join our Lisbon-area team. You will design, build, and scale a production‑grade ML/MLOps platform used by 300+ data scientists and ML engineers across 60+ teams.

You will implement Databricks MLOps and contribute to an AWS SageMaker platform. Expect Terraform/IaC automation, multi‑tenant architecture, and close collaboration with data scientists to deploy models securely and at scale.

Qualificações

• 4–6 years of experience building production infrastructure for ML or data workloads.
• Deep knowledge of Databricks or AWS SageMaker (Databricks preferred).
• Strong AWS fundamentals (IAM, networking, compute beyond console).
• Ability to write Python automation and Terraform/IaC without basic scripting help.
• Understanding of the full ML lifecycle: training, versioning, deployment, monitoring.
• Ability to design and ship solutions independently without constant hand‑holding.
• Delivered non‑trivial CI/CD pipelines to production.
• Experience with workflow orchestration and CI/CD tools (Airflow/Jenkins).
• Hands‑on experience with Kubernetes (EKS).

Responsabilidades

• Design, build, and scale a production‑grade ML/MLOps platform.
• Implement Databricks MLOps (environments, CI/CD pipelines, monitoring).
• Maintain and improve the AWS SageMaker ML platform.
• Automate infrastructure and workflows using Python and Terraform IaC.
• Design solutions for a large‑scale multi‑tenant architecture (60+ teams, 3 AWS accounts).
• Partner with data scientists and ML engineers to enable production deployments.
• Ensure platform reliability, security, observability, and cost efficiency.

Conhecimentos

ML infra development

Python automation

Terraform / IaC

CI/CD pipelines

Kubernetes (EKS)

AWS fundamentals

ML lifecycle knowledge

Independent contributor

Ferramentas

Databricks

AWS SageMaker

Apache Airflow

Jenkins

Terraform

Kubernetes

Descrição da oferta de emprego

Philip Morris International is seeking an experienced ML Platform Engineer to join our Lisbon-area team. You will design, build, and scale a production‑grade ML/MLOps platform used by 300+ data scientists and ML engineers across 60+ teams.

You will implement Databricks MLOps and contribute to an AWS SageMaker platform. Expect Terraform/IaC automation, multi‑tenant architecture, and close collaboration with data scientists to deploy models securely and at scale.