Senior AI/ML Engineer
Rochester, MN, United States
USD 123K-214K (estimate) Senior-level Full Time
Tasks
- Collaborate with clinical and technical stakeholders
- Design build and maintain automated MLOps pipelines
- Develop cloud native services and APIs for model inference
- Implement monitoring logging and automated alerting
- Integrate AI models with clinical applications
- Manage model versioning
- Optimize cloud compute storage networking and GPU resources
- Perform system reliability disaster recovery and operational maintenance
- Validate test deploy and monitor machine learning models
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Artificial Intelligence | Automated alerting | CI/CD | Cloud Computing | Cloud Native | Cloud platform | Cloud-native development | Data Engineering | Data Science | Distributed Systems | Event Driven | Event-driven architecture | GPU infrastructure | Google Cloud | Google Cloud Platform | Inference APIs | Infrastructure as Code | Kubeflow | Logging | MLOps | MLflow | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model Validation | Model versioning | Monitoring | Native Development | REST API | Software testing | Terraform | Version control | Vertex AI | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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