ML Infrastructure Engineer
New York, New York, United States
R
USD 145K-165K Mid-level Full Time
Tasks
- Automate training pipeline workflows
- Build infrastructure as code for cloud environments
- Define ML infrastructure roadmap
- Deploy and scale ML workloads on AWS and GCP
- Design model deployment and inference systems
- Implement ML model lifecycle management
- Implement model monitoring for performance drift and latency
- Manage model registry and rollback strategies
- Optimize CI CD workflows for ML automation
- Support secure and compliant ML governance
Perks/Benefits
Skills/Tech-stack
AWS | Amazon SageMaker | BigQuery | CI/CD | CloudFormation | CloudWatch | Datadog | Docker | Flask | GCP | GPU Computing | Grafana | Kubernetes | Learning operations | MLflow | Machine Learning | Machine Learning Operations | Prometheus | Python | Terraform | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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