MLOps Engineer (Machine Learning Platform & Cloud Infrastructure)
Tasks
- Automate machine learning workflows
- Automate model retraining
- Build CI/CD pipelines for machine learning
- Build containerized AI applications
- Deploy machine learning models to production
- Design machine learning infrastructure
- Implement infrastructure-as-code
- Monitor model and infrastructure performance
- Optimize cloud resource utilization and costs
Perks/Benefits
Skills/Tech-stack
AI Pipelines | Amazon SageMaker | Amazon Web Services | Apache Airflow | CI/CD | Cloud platform | CloudFormation | Datadog | Docker | GitHub Actions | Google Cloud | Google Cloud Platform | Grafana | KServe | Kubeflow | Kubernetes | Linux | MLflow | Microsoft Azure | Model Monitoring | Prometheus | Python | Terraform | Vertex AI | Vertex AI pipelines | Web Services
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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