Related skills
terraform python kubernetes mlops mlflowπ Description
- Design and deploy end-to-end ML model pipelines in production.
- Own data pseudo-anonymization inside ingestion services.
- Build secure data export services with ML-based threat detection.
- Manage golden datasets and production model evaluation.
- Develop data pipelines for diverse data formats.
- Mentor the team on MLOps best practices.
π― Requirements
- 7+ years in MLOps or ML platform roles.
- Expert with ML orchestration tools like MLflow or Braintrust.
- Strong SRE foundation focused on reliability and observability.
- Python for automation and ML pipeline scripting.
- Terraform, Kubernetes, and cloud infra (GCP/AWS/Azure).
- Experience with model evaluation frameworks and golden datasets.
- Fluent in English.
π Benefits
- Health insurance for you and your children.
- 25 vacation days + up to 14 RTT days.
- Mental health and coaching via Moka.care.
- Work from abroad up to 10 days/year.
- Lunch vouchers (Swile) β¬8.50/day; Doctolib covers β¬4.50.
- Public transport subsidy 50%.
π Relocation support
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