MLOps Engineer II
Tasks
- Apply AI ML FinOps cost optimization
- Build Python tools for data processing
- Conduct code reviews
- Design machine learning pipelines
- Develop deployment frameworks
- Ensure security, governance, compliance
- Implement CI/CD pipelines
- Integrate ML models into enterprise applications
- Manage Infrastructure as Code components
- Provide technical guidance and mentorship
- Set up ML monitoring logging alerting
- Troubleshoot ML production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CDK | AWS CloudFormation | AWS IAM | AWS Lambda | AWS Step Functions | Alerting | Amazon ECS | Amazon EKS | Amazon S3 | Amazon SageMaker | CI/CD | Distributed Systems | Docker | Feature Store | FinOps | GitHub | Infrastructure as Code | Logging | ML observability | Machine Learning | Model versioning | Monitoring | Python | Step Functions | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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