MLOPs Engineer
Tasks
- Build scalable infrastructure for model development
- Create automation frameworks for model lifecycle management
- Deploy and scale AI infrastructure on AWS
- Develop and maintain data pipelines and storage
- Ensure data quality and governance
- Establish governance and compliance for ML workflows
- Implement monitoring and alerting for models
- Integrate knowledge graphs and graph databases into AI systems
- Optimize training and inference environments
- Support deployment of models into production
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automation | CI/CD | Cloud infrastructure | Data Engineering | Data Pipelines | Distributed Computing | Docker | Governance | Kubernetes | Machine Learning | Model Deployment | Monitoring | Security | Terraform
Education
Roles
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