MLOps Engineer, Mid
USA, VA, Chantilly (15059 Conference Ctr Dr), United States
USD 77K-176K Entry-level Full Time
Tasks
- Build and maintain Cloud software and infrastructure
- Deploy machine learning models
- Design MLOps platform
- Develop ml lifecycle architecture
- Implement continuous integration and deployment
- Manage datasets for training
- Monitor machine learning in production
- Streamline development lifecycle to production
Perks/Benefits
Skills/Tech-stack
API Design | API Gateway | AWS | AWS Lambda | Amazon S3 | Amazon SageMaker | Authentication | CI/CD | Cloud infrastructure | Containerization | Continuous Deployment | Continuous integration | Docker | DynamoDB | Git | Helm | IAM | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Object-Oriented | Object-oriented programming | Python | Serverless | Terraform | “as-code”
Education
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