MLOps Engineer II
Innovation Point, United States
USD 105K-189K Senior-level Full Time
Tasks
- Apply AI ML FinOps for cost optimization
- Build real time and batch inference deployment frameworks
- Conduct code reviews and promote testing and deployment best practices
- Design machine learning pipelines on AWS
- Develop Python tools for data processing and orchestration
- Ensure ML systems meet security governance and regulatory standards
- Implement CI/CD pipelines for ML systems
- Integrate ML models into enterprise applications
- Manage infrastructure with Infrastructure as Code
- Provide technical guidance and mentor engineers
- Set up monitoring logging and alerting for ML systems
- Troubleshoot ML development and production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS IAM | AWS Lambda | AWS SageMaker | AWS Step Functions | Alerting | Amazon ECS | Amazon EKS | Amazon S3 | Amazon Web Services | CI/CD | Code review | Docker | FinOps | GitHub | Infrastructure as Code | Learning operations | Logging | Machine Learning | Machine Learning Operations | Monitoring | Python | Step Functions | Terraform | Testing | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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