AI Engineer
CINCINNATI GENERAL OFFICES, United States
R
USD 85K-122K Mid-level Full Time
Tasks
- Apply platform engineering practices
- Build applications with Python and SQL
- Build prototypes and proof of concepts
- Create reusable code and design patterns
- Deploy and develop on Kubernetes
- Design data models and quality checks
- Detect incidents using real time data streams
- Develop machine learning pipelines
- Implement devops practices
- Improve system architecture
- Integrate and source data from multiple systems
- Operationalize machine learning models
- Optimize analytical solutions at scale
- Set up CI/CD pipelines
- Support solutions on Azure and GCP
- Troubleshoot infrastructure issues
Perks/Benefits
Skills/Tech-stack
Agile | Azure AKS | Azure Composer | Azure Data | Azure Data Factory | Azure Databricks | Azure ML | BigQuery | CI/CD | Cloud Composer | Cloud platform | Code Analysis | Data Factory | Data Modeling | Data Quality | Data Streaming | DevOps | GitHub Actions | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Jira | Kubeflow | Kubernetes | Kubernetes Engine | Logging | Machine Learning | Monitoring | Pytest | Python | Real Time | Real-Time Data Streaming | Real-time Data | SQL | SonarQube | Source Control | Static Code Analysis
Education
Roles
AI | AI Engineer | AI Platform Engineer | Engineer | Platform Engineer
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