Platform Engineer - ML Training Pipelines
Solaria Data
Hybrid (Berlin, DE) · $130K - $152K · Full-time · Posted 5 months ago
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Responsibilities
- Improve training pipeline reliability and reproducibility
- Create templates and standards for model jobs and artefact tracking
- Reduce cloud waste through better scheduling and environment controls
- Partner with ML teams on smoother experiment-to-production handoffs
- Support observability for long-running jobs and flaky workflows
Requirements
- 4+ years in platform engineering, data infrastructure, or MLOps
- Python for internal tooling and automation
- Kubernetes and Docker for repeatable workloads
- Airflow for scheduled workflows and dependency management
- GCP or AWS experience in production teams
- CI/CD experience for infrastructure and service releases
Benefits
- $130,000 - $152,000 base salary
- Hybrid in Berlin or fully remote in Germany
- Learning budget and home office support
- Transparent engineering leadership
- A role with both platform depth and product relevance
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Job Type
Full-time
Level
Mid-level
Language
English
Salary Range
$130,000 - $152,000
AI Expertise
Skills
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About Solaria Data
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