Lead end-to-end development of ML pipelines from prototyping to production deployment at scale.
Design, build, and maintain core ML infra (Databricks, AWS, Ray, Kubernetes).
Develop observability and experimentation frameworks for reliable deployment and monitoring.
Partner with Data Science teams to remove bottlenecks and empower high-quality models.

🎯 Requirements

5+ years of backend/infrastructure engineering experience.
Infra-as-code: Pulumi, Terraform, CloudFormation.
SOA experience; integrating ML services into high-scale backends.

🎁 Benefits

Competitive salaries & meaningful equity
Private Medical Insurance
Life/Risk Assurance
Meal Allowance: 8.55€ per day
Paid Annual Leave: 22 days
Complete laptop workstation

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