MLOps Engineer
Tasks
- Bridge AI engineering and DevSecOps for ML deployment
- Build and manage automation pipelines for ML platform
- Create tooling for model integration
- Design model training and deployment infrastructure
- Enforce MLOps best practices
- Implement secure reliable scalable AWS architectures
- Monitor and maintain production ML services
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CDK | AWS Networking | AWS Security | Amazon ECS | Amazon SageMaker | CI/CD | CircleCI | Containerization | Databricks | Docker | GitHub Actions | Infrastructure as Code | Keras | Kubernetes | MLOps | Machine Learning | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Terraform | Vertex AI | “as-code”
Education
N/A
Roles
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