Senior Platform/MLOps Engineer
Tasks
- Apply GitOps workflows
- Build scalable secure infrastructure
- Create system documentation and knowledge sharing
- Deploy machine learning models
- Design and implement ML AI training pipelines
- Implement Kubernetes GPU workloads
- Improve developer velocity
- Investigate design approaches and prototype technology
- Maintain inference workloads
- Perform peer code reviews
- Use CI/CD pipelines
- Write and maintain infrastructure as code
Perks/Benefits
Skills/Tech-stack
Ansible | Artificial Intelligence | C# | CI/CD | Configuration Management | Git | GitOps | Go | Grafana | Infrastructure as Code | JavaScript | Kubernetes | MLOps | Machine Learning | OpenTelemetry | Prometheus | Python | Terraform | “as-code”
Education
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