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docker aws python kubernetes gcp📋 Description
- Collaborate with ML Engineers to build training pipelines for massive 3D datasets.
- Orchestrate model training and enable continuous model improvements.
- Develop cloud-native systems (GCP/Kubernetes) for Dandy's 3D dental products.
- Write clean, maintainable code and tests to set internal best practices.
- Partner with Engineering to influence long-term architectural goals.
🎯 Requirements
- 5+ years of experience as ML or Software Engineer in a high-growth startup.
- Experience building ML platform components: feature stores, registries, training workflows.
- Cloud infra design using Docker, Kubernetes, and AWS/GCP/Azure.
- Expertise in large-scale data processing and ML data pipelines.
- Automated build, test, and deployment workflows (CI/CD).
- Strong observability: metrics, logging, tracing in distributed systems.
- Clear communicator of architectural problems with pragmatic solutions.
- Experience with Python ML frameworks (PyTorch, TensorFlow); 3D CV is a plus.
🎁 Benefits
- Competitive full-time benefits tailored to each country.
- Healthcare, dental, mental health support, retirement options.
- Generous paid time off and parental resources.
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