MLOps & AI Platform Engineer
Tasks
- Automate machine learning pipelines
- Build enterprise MLOps platforms
- Deploy and manage ML workloads on Kubernetes
- Ensure platform security and reliability
- Implement infrastructure-as-code
- Implement model versioning
- Manage model registry
- Monitor model performance
- Monitor platform health
- Optimize platform performance
- Set up CI CD pipelines for ML workloads
- Troubleshoot production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | Amazon Web Services | Apache Airflow | Bash | CI/CD | Cloud platform | Docker | GitHub Actions | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | MLOps | MLflow | Microsoft Azure | Prometheus | Python | Sagemaker Pipelines | Terraform | Vertex AI | Vertex AI pipelines | Web Services
Education
Roles
AI | AI Platform Engineer | Engineer | MLOps Engineer | Platform Engineer
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