AI/ML Platform Engineer
Fairborn, OH, United States
USD 120K-200K (estimate) Mid-level Full Time Found 10d ago
Tasks
- Collaborate with platform, infrastructure, and security teams
- Design AI/ML sandbox environments
- Develop and optimize applications using Kubernetes, Docker, KubeFlow, MLFlow, Bedrock, FastAPI, Ray Train, Tune, Safe Tensors, ONNX
- Document system designs configurations and procedures
- Implement scalability, reliability, and performance best practices
- Participate in system accreditation, compliance, and audit activities
- Support CI/CD pipelines
- Support application packaging, versioning, and release management
- Troubleshoot distributed environment issues
Perks/Benefits
- N/A
Skills/Tech-stack
Air-gapped | Air-gapped environments | Application packaging | Automation | Bedrock | Cloud | Database optimization | Distributed Systems | Docker | FastAPI | Hybrid environments | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | ONNX | Performance Tuning | Ray Train | Safe Tensors | Security | Tune | Version control | “as-code”
Education
Language: en |
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