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)
Come and join us!
For Poland: In this position you will earn no less that ****** PLN gross monthly
Relocation support is not available for this job
Please note that only on-line applications 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.
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📌 Data Intelligence Platform Engineer (Buenos Aires)
🏢 Philip Morris International
📍 Buenos Aires