Data Intelligence Platform Engineer

Philip Morris International; Kraków; On-site; PLN 179,000 - 214,000; Full time

Job summary

Philip Morris International Kraków is seeking an experienced ML/MLOps Platform Engineer to design and scale a production‑grade ML platform used by 300+ data scientists across 60+ teams. You’ll focus on Databricks MLOps and AWS SageMaker, ensuring deployments are reliable, secure, and scalable.

Work with data scientists to automate infrastructure with Python and Terraform, design multi‑tenant solutions for 60+ teams across AWS accounts, and drive cost efficiency, observability, and security at

Qualifications

• 4–6 years of production ML/data infra experience.
• Deep knowledge of Databricks or AWS SageMaker.
• Strong AWS fundamentals (IAM, networking, compute).
• Proficient Python automation and IaC (Terraform).
• Understanding ML lifecycle: training, versioning, deployment, monitoring.
• Ability to design and ship CI/CD pipelines to production.
• Experience with Airflow and Jenkins.
• Hands-on Kubernetes (EKS) experience.

Responsibilities

• Design, build, and scale production-grade ML/MLOps platform.
• Implement Databricks MLOps (environments, CI/CD, monitoring).
• Maintain and improve AWS SageMaker platform.
• Automate infra using Python and Terraform.
• Design multi-tenant architecture for 60+ teams across 3 AWS accounts.
• Collaborate with data scientists to enable production deployments.
• Ensure reliability, security, observability, and cost efficiency.

Skills

Databricks

AWS SageMaker

Python automation

Terraform / IaC

CI/CD pipelines

Kubernetes (EKS)

Apache Airflow

AWS fundamentals

ML lifecycle

Security IAM

Tools

Terraform

Kubernetes (EKS)

Apache Airflow

Job description

About The Role

You will join a team responsible for building and scaling the ML platform used by 300+ data scientists and ML engineers across 60+ teams. Your work will directly impact how machine learning models are deployed to production — reliably, securely, and at scale. You’ll spend most of your time implementing and standardising Databricks MLOps (environments, CI/CD pipelines, model monitoring) while also contributing to the evolution of a battle‑tested AWS SageMaker platform.

You Day-to-day

• 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 Infrastructure‑as‑Code (Terraform)
• Design solutions for a large-scale multi-tenant architecture (60+ teams, 3 AWS accounts)
• Partner closely with data scientists and ML engineers to enable production model deployments
• Ensure platform reliability, security, observability, and cost efficiency

Who We’re Looking For

• Have 4–6 years of experience building production infrastructure for ML or data workloads
• Know Databricks or AWS SageMaker deeply (Databricks experience is strongly preferred)
• Are strong in AWS fundamentals (IAM, networking, compute - beyond console clicking)
• Can confidently write Python automation and Terraform / IaC without relying on basic syntax searches
• Understand the full ML lifecycle: training, versioning, deployment, monitoring
• Can design and ship solutions independently, without constant hand‑holding
• Have delivered non‑trivial CI/CD pipelines to production
• Experience with workflow orchestration and CI/CD tools such as Apache Airflow and Jenkins
• Have hands‑on experience with Kubernetes (EKS)

Nice To Have

• Apache Airflow
• OAuth / Amazon Cognito, API Gateway
• Monitoring tools such as Prometheus, Grafana, New Relic
• Cloud cost optimisation experience
• GitOps tooling (FluxCD, ArgoCD)

For Poland: In this position you will earn no less that 17 600 PLN gross monthly

Relocation support is not available for this job

At PMI we run the business in line with ethical principles and encourage SpeakUp culture. We care for equal chances and fair treatment. If you find anything that violates these principles in this job offer or the recruitment process, you may contact our Ethics and Compliance Team at [e-mail]. Read more about Ethics&Compliance at PMI – here.