Senior AI Ops Engineer
Tasks
- Define and manage SLOs SLAs
- Deploy containerized workloads
- Design and operate AI ML platforms
- Develop model versioning workflows
- Develop operational templates and runbooks
- Enforce security and compliance practices
- Implement AI safety controls
- Implement CI/CD pipelines
- Manage vector databases and evaluation frameworks
- Monitor and optimize compute storage network
- Monitor system health and model performance
- Operate LLM applications and RAG pipelines
- Partner with data scientists and ML engineers
Perks/Benefits
Skills/Tech-stack
AI Safety | CI/CD | Cloud Platforms | Containerization | Data Governance | Encryption | Go | Java | Kubernetes | LLMOps | MLOps | Model Deployment | Monitoring | Orchestration | Python | Security (IAM
Education
Roles
AI | AI Operations Engineer | Engineer | Operations Engineer
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