ML Ops Support
Tasks
- Apply CI CD for ML models
- Automate ML engineering workflows
- Build proof of concept ML systems
- Communicate with technical and business teams
- Define requirements
- Deploy offline models to production
- Design data pipelines
- Engineer ML infrastructure
- Ensure auditability
- Ensure data security
- Evaluate new technologies
- Improve maintainability
- Improve model performance
- Improve reliability
- Manage model deployment
- Manage model versioning
- Monitor ML models
- Retrain ML models
- Scale ML systems
- Track project progress
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | CloudFormation | Data Preprocessing | Databricks | Docker | Feature Engineering | GCP | GitLab | Infrastructure as Code | Jenkins | Kubernetes | Learning algorithms | Machine Learning | Machine learning algorithms | Model Monitoring | Model versioning | Python | Terraform | “as-code”
Education
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