Staff Software Development Engineer
Tasks
- Build ML platform components
- Collaborate with data scientists to productionize prototypes
- Conduct threat modeling for AI systems
- Create documentation and runbooks
- Deploy real time batch and streaming inference
- Implement CI/CD pipelines for ML workflows
- Implement security and governance controls
- Integrate dashboards and alerts
- Optimize model serving performance
- Set up model monitoring and observability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Azure | Azure DevOps | Azure Machine Learning | Bash | BentoML | CI/CD | Data Quality | Databricks | Datadog | Docker | ELK | Feature Store | GDPR | GitHub Actions | GitLab CI | Go | Google Cloud | Grafana | Helm | ISO | Inference Server | Java | Jenkins | Kubeflow | Kubernetes | Linux | ML Ops | MLOps | MLflow | Machine Learning | Model Drift | Model Monitoring | Model Registry | Prometheus | PyTorch | Python | Ray Serve | SOC 2 | Scikit-learn | TensorFlow | Threat modeling | Torchserve | Triton Inference | Triton Inference Server | Vertex AI
Education
N/A
Roles
AI | AI DevOps Engineer | DevOps Engineer | Engineer | MLOps Engineer
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