Lead end-to-end ML pipelines from prototype to production deployments.
Design, build, and maintain ML infra (Databricks, AWS, Ray, Kubernetes).
Develop observability and experimentation frameworks for deployment and monitoring.
Partner with Data Science teams to remove infra bottlenecks and enable high-quality models.
Nice to have: hands-on ML pipeline experience incl. recommender systems and DL training/serving.

🎯 Requirements

3+ years of backend or infrastructure engineering.
Infra-as-code experience (Pulumi, Terraform, CloudFormation).
Experience with SOA and integrating ML services into high-scale backends.

🎁 Benefits

Competitive salaries and equity
Private Medical Insurance
Life/Risk Assurance
Meal Allowance: 8.55€ per day
Community Days
Paid Annual Leave (22 days)
Global Lifestyle Reimbursement Account
Paid Sabbatical
Complete laptop workstation

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