Senior MLOps Engineer - DSX Enablement
Tasks
- Advise on ML workload infrastructure demands
- Build and deploy AI solutions
- Collaborate on cloud and GPU platform customer engagements
- Develop MLOps pipelines
- Develop open source tools and reference architectures
- Implement containerization and workflow automation
- Optimize distributed training and inference
- Profile and tune training and inference workloads
- Reduce latency and cost
- Support production problem solving for AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
Bash | Batch schedulers | C++ | CI/CD | CUDA | Containers | Data Engineering | Deep learning | Distributed Training | Distributed file systems | File systems | GitOps | Go | Inference Optimization | Kubernetes | Linux | Machine Learning | Networking | Observability | Python | Rust | TensorRT | Triton | Workflow automation
Education
Roles
Regions
Countries
States
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