Staff ML Engineer
Zionsville Office, United States
USD 190K-215K Senior-level Full Time
Tasks
- Architect ML workloads on AWS SageMaker
- Build feature pipelines for ML training and inference
- Create automated testing and model validation gates
- Deploy ML models with staged rollout and rollback
- Design ML model serving infrastructure
- Establish experiment tracking and model registry
- Implement ML CI CD pipelines
- Implement model monitoring and observability
- Integrate ML pipelines with Dagster orchestration
- Mentor senior ML engineers and technical leads
- Optimize ML cost and performance
- Set up drift detection and performance alerting
- Trigger automated retraining workflows
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Life insurance
- Long-term disability
- Short-term disability
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWS CDK | AWS CloudFormation | Airflow | BentoML | Dagster | Drift Detection | EC2 | EKS | Feast | Feature Store | IAM | Kubeflow | MLOps | MLflow | Model Monitoring | Model Serving | Monitoring | Observability | PyTorch | Python | Ray Serve | S3 | SageMaker | SageMaker Endpoints | Sagemaker Pipelines | Scikit-learn | Seldon Core | Snowflake | Step Functions | Tecton | TensorFlow | TensorFlow Serving | Terraform | Weights and Biases
Education
Roles
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