Senior MLOps Engineer
Tasks
- Automate deployment and orchestration
- Build and optimize CI/CD pipelines
- Design and manage AWS infrastructure
- Develop and deploy LLM workflows
- Document workflows and operational procedures
- Implement observability and performance security
- Monitor and ensure production reliability
- Own machine learning lifecycle
- Standardize MLOps DevOps best practices
- Troubleshoot infrastructure and model issues
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Alerting | CI/CD | Docker | ECS | ETL | FastAPI | Flowise | GitHub Actions | Grafana | Infrastructure as Code | Kubernetes | LLM | Langgraph | Loki | MLflow | Machine Learning | Machine Learning Ops | Observability | OpenTelemetry | Prefect | Prometheus | Python | Telemetry | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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