Data Intelligence Platform Engineer

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profile Job Location:

Kraków - Poland

profile Monthly Salary: Not Disclosed
Posted on: 19 hours ago
Vacancies: 1 Vacancy

Job Summary

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.

Youll spend most of your time implementing and standardising Databricks MLOps (environments CI/CD pipelines model monitoring) while also contributing to the evolution of a battletested 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 InfrastructureasCode (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 were looking for:

  • Have 46 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 handholding
  • Have delivered nontrivial CI/CD pipelines to production
  • Experience with workflow orchestration and CI/CD tools such as Apache Airflow and Jenkins
  • Have handson 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)

Come and join us!

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

Please note that onlyon-lineapplications will be taken into consideration.

Only selected candidates will be contacted.

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. Read more about Ethics&Compliance at PMI here.


Required Experience:

IC

About the roleYou 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.Youll spend most of your time im...
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Philip Morris International (PMI) is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine-containing products in markets outside the U.S. PMI is building a f ... View more

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