Staff ML Engineer
Remote Location, United States
R
USD 190K-215K Senior-level Full Time
Tasks
- Architect ML workloads on AWS
- Automate model testing validation and deployment
- Build ML production infrastructure
- Create feature pipelines
- Detect data drift and performance degradation
- Develop CI/CD pipelines for ML
- Implement model monitoring and observability
- Implement model serving
- Integrate ML infrastructure with Dagster
- Mentor ML engineers
- Optimize ML cost and performance
- Set up experiment tracking and registry
- Trigger automated retraining
Perks/Benefits
- 401k matching
- Disability insurance
- Employee assistance program
- Health, dental, and vision insurance
- In person interview requirement
- Life insurance
- Wellness programs
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS Lambda | AWS SageMaker | Airflow | Amazon EC2 | Amazon EKS | Amazon S3 | Auto Scaling | BentoML | CI/CD | Dagster | Drift Detection | Feast | Feature Store | IAM | Kubeflow | MLflow | Model Drift | Model Drift Detection | Model Monitoring | Model retraining | PyTorch | Python | Ray Serve | Sagemaker Pipelines | Scikit-learn | Seldon Core | Spot instances | Step Functions | Tecton | TensorFlow | TensorFlow Serving | Terraform | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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