Machine Learning Operations Engineer
United States - Remote
R
USD 160K-220K (estimate) Senior-level Full Time
Tasks
- Build and maintain data pipelines with Snowflake
- Build and manage distributed training pipelines
- Design and build ML infrastructure
- Design and operate model serving architectures
- Develop and maintain containerized environments
- Implement CI/CD pipelines for ML deployment
- Implement ML lifecycle tooling
- Implement monitoring, logging, and alerting
- Own production inference systems
- Partner with ML engineers to improve developer experience
Perks/Benefits
Skills/Tech-stack
APIs | Alerting | CI/CD | Data Versioning | Distributed Systems | Distributed Training | Docker | Feature Stores | GPU Workloads | Grafana | Inference Server | Kubernetes | Logging | MLflow | Microservices | NLP | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | Observability | Prometheus | Python | Snowflake | System design | Triton Inference Server
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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