MLOps Catastrophe & Geo-Analytics
Tasks
- Architect scalable cloud services
- Build and deploy machine learning solutions
- Create CI/CD pipelines
- Define SLAs and automate end to end testing
- Develop model deployment and monitoring frameworks
- Implement automated testing
- Integrate ML models with vendor teams
- Manage model lifecycle releases and change management
- Monitor troubleshoot and ensure availability
- Operate MLOps platform model registry and feature store
- Orchestrate data science pipelines
- Train run and monitor machine learning models
Perks/Benefits
- 401k matching
- Education assistance
- Flexible work options
- Health insurance
- Paid time off
- Professional development
- Wellbeing resources
- Work from anywhere
Skills/Tech-stack
AWS | Agile | Automated testing | CI/CD | Cloud Computing | Data Pipelines | Feature Store | GitHub | GitLab | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Registry | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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