Data Intelligence Platform Engineer for ML platform

The team builds and scales an ML platform used by 300+ data scientists and ML engineers across 60+ teams. It supports reliable, secure, and scalable deployment of machine learning models to production.

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

• 4–6 Years of experience building production infrastructure for ML or data workloads
• Deep knowledge of Databricks or AWS SageMaker; Databricks experience is strongly preferred
• Strong AWS fundamentals, including IAM, networking, and compute
• Confident Python automation and Terraform/IaC skills
• Understanding of the full ML lifecycle: training, versioning, deployment, and monitoring
• Ability to design and deliver solutions independently
• Experience delivering non-trivial CI/CD pipelines to production
• Experience with workflow orchestration and CI/CD tools such as Apache Airflow and Jenkins
• Hands-on Kubernetes (EKS) experience
• Будет плюсом: Apache Airflow, OAuth, Amazon Cognito, API Gateway, Prometheus, Grafana, New Relic, cloud cost optimisation, GitOps tooling (FluxCD, ArgoCD)

• Локация: Лиссабон
• Gross monthly salary of no less than 17 600 PLN in Poland
• Relocation support is not available for this job