Software Development Engineer - ML Ops
USA, GA, Atlanta, United States
USD 123K-222K Senior-level Full Time
Tasks
- Build and deploy distributed systems
- Collaborate with Tech Leads and ML Engineers on requirements
- Create and maintain technical documentation and run books
- Deploy and orchestrate containers in production
- Design scalable machine learning runtime pipelines
- Develop automation frameworks and tooling
- Implement infrastructure as code end to end
- Monitor systems and build monitoring services
- Prototype and evaluate new ML tools
- Provide rotational on-call support
Perks/Benefits
Skills/Tech-stack
AWS | ArgoCD | CI/CD | DevOps | Distributed Systems | Docker | GCP | Git | Grafana | Infrastructure as Code | Jenkins | Kubernetes | Machine Learning | Microservices | Python | REST API | Service Mesh | Service Oriented | Service-Oriented Architecture | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
DevOps | DevOps Engineer | Engineer | ML Ops Engineer | Ops Engineer
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