MLOps Engineer
Chicago, Illinois, United States
USD 120K-176K (estimate) Mid-level Full Time
Tasks
- Automate testing validation and deployment
- Build MLOps pipelines on AWS
- Build deploying and diagnosing production ML applications
- Collaborate to build MLOps platform
- Containerize applications
- Define scalable and secure ML architectures
- Deploy version and monitor ML services
- Design and implement cloud solutions
- Develop standards for data science productivity
- Execute POC for automated MLOps at scale
- Maintain ML platform user documentation and training
- Manage data and concept drift monitoring
- Refactor and optimize code
- Troubleshoot and debug ML platform user issues
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Health savings account
- Life insurance
- Paid Holidays
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Azure DevOps | C plus plus | CI/CD | CloudFormation | Concept drift | Data Drift | Docker | Evidently AI | Git | GitHub | Golang | Helm | Helmfile | Inference Systems | JFrog Artifactory | Java | Kubeflow | Kubernetes | MLflow | Observability | Python | R | SQL | Seldon | Terraform
Education
Roles
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