ML Platform Engineer
Tasks
- Architect model deployment monitoring and operations systems
- Build scalable infrastructure and internal tooling
- Collaborate with researchers and product teams on scalable platform capabilities
- Contribute to architecture decisions and long term platform evolution
- Create abstractions and developer tools for machine learning systems
- Design platform systems for machine learning training and deployment
- Develop automation workflows and agent oriented systems
- Enhance observability reliability and developer experience
- Improve workload scheduling monitoring debugging and resource management
- Own complex engineering challenges and deliver scalable reliable solutions
Perks/Benefits
- Collaborative cross-functional environment
- Flexible work across Europe
- Fully remote work
- High ownership role
- Professional growth opportunities
Skills/Tech-stack
Agentic Systems | Datadog | Debugging | Distributed Systems | GPU Computing | GitHub Actions | Infrastructure automation | Kubernetes | Language Models | Large Language Models | Linux | Machine Learning | Model Monitoring | Model Serving | Monitoring | Observability | Python | Temporal | Terraform | Workflow Orchestration
Education
N/A
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